Triple
T1108351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wild Target |
E25536
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Geoff Bell |
E104629
|
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: Geoff Bell | Statement: [Wild Target, castMember, Geoff Bell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geoff Bell Context triple: [Wild Target, castMember, Geoff Bell]
-
A.
Geoff Bell
chosen
Geoff Bell is a British character actor known for his tough-guy roles in films such as "Green Street," "The Business," and "Kingsman: The Secret Service."
-
B.
Geoff Petrie
Geoff Petrie is a former American professional basketball guard best known as an early star for the Portland Trail Blazers and later a longtime NBA executive.
-
C.
Michael Devine
Michael Devine was an Irish republican hunger striker and INLA member who died during the 1981 Maze Prison hunger strike in Northern Ireland.
-
D.
Keith Teare
Keith Teare is a British technology entrepreneur best known as a co-founder of the influential tech news site TechCrunch.
-
E.
Ray Collins
Ray Collins was an American character actor best known for his roles in classic films and radio, including his appearance in Orson Welles’s landmark film "Citizen Kane."
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9e6134481909f348986a25f65c6 |
completed | March 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8f6969a8819091383fb1172ceeee |
completed | March 7, 2026, 8:49 p.m. |
Created at: March 1, 2026, 7:43 p.m.