Triple
T13008735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fantagraphics Books |
E322352
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Gary Groth |
E818073
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Gary Groth | Statement: [Fantagraphics Books, foundedBy, Gary Groth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gary Groth Context triple: [Fantagraphics Books, foundedBy, Gary Groth]
-
A.
Gary Groth
chosen
Gary Groth is an American comic book editor, publisher, and critic best known as the co-founder of the influential alternative comics publisher Fantagraphics Books and editor of The Comics Journal.
-
B.
John Schehr
John Schehr was a German communist politician and anti-fascist resistance figure who briefly led the Communist Party of Germany before being killed by the Nazis in 1934.
-
C.
Geoffrey Richman
Geoffrey Richman is a film editor known for his work on feature films such as "Knight of Cups."
-
D.
Daniel Taradash
Daniel Taradash was an American screenwriter best known for his Academy Award–winning adaptation of the film From Here to Eternity and his influential work in mid-20th-century Hollywood cinema.
-
E.
Timothy Mertens
Timothy Mertens is a film editor best known for his work on animated features such as "Horton Hears a Who!".
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9cf0108190b02f498c6ccc91f8 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c10bb13481909650432d5c1f5872 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:48 p.m.