Triple
T16697975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Big Gusher |
E405765
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Daniel B. Ullman |
—
|
NE NERFINISHED |
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: Daniel B. Ullman | Statement: [The Big Gusher, screenwriter, Daniel B. Ullman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel B. Ullman Context triple: [The Big Gusher, screenwriter, Daniel B. Ullman]
-
A.
Daniel Ullman
chosen
Daniel Ullman was an American screenwriter known for his work on mid-20th-century genre films, particularly Westerns and thrillers.
-
B.
Neil B. Shulman
Neil B. Shulman is an American physician and author best known for writing the novel that inspired the film "Doc Hollywood."
-
C.
David A. Unger
David A. Unger is a film producer and talent manager known for his work on international action and martial arts projects.
-
D.
Michael G. Nathanson
Michael G. Nathanson is a film producer known for his work on major Hollywood movies, including the musical comedy-drama "Joyful Noise."
-
E.
David M. Rosenthal
David M. Rosenthal is an American film director and screenwriter known for his work in thrillers and character-driven dramas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3832f550c8190bf7514d4611dec6a |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:19 a.m.