Triple
T18201192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fielder |
E435788
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Bruce Fielder |
—
|
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: Bruce Fielder | Statement: [Fielder, hasNotableBearer, Bruce Fielder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bruce Fielder Context triple: [Fielder, hasNotableBearer, Bruce Fielder]
-
A.
Bruce Fielder
chosen
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.
-
B.
Stan Fields
Stan Fields is a fictional beauty pageant host and commentator featured in the comedy film series "Miss Congeniality."
-
C.
Ron Field
Ron Field was an American choreographer and director best known for his innovative work on Broadway musicals in the mid-20th century.
-
D.
Jack Fields
Jack Fields was the first husband of American actress and television producer Whitney Blake.
-
E.
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.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d71f288190918ca78543118bbe |
completed | April 19, 2026, 2:04 p.m. |
Created at: April 10, 2026, 10:32 a.m.