Triple
T18150156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dire Straits |
E434481
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Pete Wingfield |
—
|
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: Pete Wingfield | Statement: [Dire Straits, hasPart, Pete Wingfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pete Wingfield Context triple: [Dire Straits, hasPart, Pete Wingfield]
-
A.
Pete Wingfield
chosen
Pete Wingfield is a British record producer, songwriter, and musician best known for his work in pop and rock music since the 1970s.
-
B.
Bert Lovitt
Bert Lovitt is a film editor best known for his work on action and science fiction movies, including the 1993 sequel RoboCop 3.
-
C.
Basil Batty
Basil Batty was an Anglican clergyman who became the first Bishop of Fulham in the Church of England.
-
D.
Owen Brewster
Owen Brewster was a mid-20th-century American Republican politician who served as both governor of Maine and a U.S. senator.
-
E.
Guy Fleegman
Guy Fleegman is a comedic supporting character in the sci-fi parody film "Galaxy Quest," known for his self-aware fear of being the expendable "redshirt" crew member.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de3812e8819097f025476d5c6a1d |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.