Triple
T18755088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drive Angry |
E458628
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Adam Fields |
—
|
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: Adam Fields | Statement: [Drive Angry, producer, Adam Fields]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adam Fields Context triple: [Drive Angry, producer, Adam Fields]
-
A.
Adam Fields
chosen
Adam Fields is a film producer known for his work on various Hollywood movies, including the comedy "The Wedding Ringer."
-
B.
Adam Fields
Adam Fields is a film and television composer best known for his work on the teen drama series "Dawson's Creek."
-
C.
Kevin Fields
Kevin Fields is the male lead in the romantic comedy film "Monster-in-Law," serving as the love interest whose engagement triggers the central conflict between his fiancée and his overbearing mother.
-
D.
Stan Fields
Stan Fields is a fictional beauty pageant host and commentator featured in the comedy film series "Miss Congeniality."
-
E.
Bruce Fielder
Bruce Fielder, better known by his stage name Sigala, is a British DJ, record producer, and songwriter recognized for his upbeat electronic dance music hits.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e579f084208190a4b3563d47154e69 |
completed | April 20, 2026, 12:57 a.m. |
Created at: April 10, 2026, 11:51 a.m.