Triple
T10920239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kate Bishop |
E257927
|
entity |
| Predicate | creators |
P7732
|
FINISHED |
| Object | Allan Heinberg |
E199707
|
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: Allan Heinberg | Statement: [Kate Bishop, creators, Allan Heinberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allan Heinberg Context triple: [Kate Bishop, creators, Allan Heinberg]
-
A.
Allan Heinberg
chosen
Allan Heinberg is an American television writer, producer, and comic book author best known for his work on series like The O.C. and Grey’s Anatomy and for writing DC Comics’ Young Avengers.
-
B.
Sam Koppelman
Sam Koppelman is an American writer and political speechwriter known for co-authoring books with figures like Beto O’Rourke and for his work on voting rights and democracy.
-
C.
David Frankel
David Frankel is an American film and television director best known for helming popular works such as "The Devil Wears Prada" and episodes of "Sex and the City."
-
D.
Scott Gilman
Scott Gilman is a musician best known as a member of the British-American rock band Foreigner.
-
E.
Andrew Solt
Andrew Solt was a Hungarian-American screenwriter and producer best known for his work on mid-20th-century films and later for creating music-related documentaries and television programs.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77081a0c48190b7aa4a482032d1ea |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2171adbbc8190916a5463b6e5c186 |
completed | April 17, 2026, 11:18 a.m. |
Created at: April 8, 2026, 9:22 p.m.