Triple
T2501641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharp |
E52476
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Jeff Sharp |
E118536
|
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: Jeff Sharp | Statement: [Sharp, hasNotableBearer, Jeff Sharp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Sharp Context triple: [Sharp, hasNotableBearer, Jeff Sharp]
-
A.
Jeff Sharp
chosen
Jeff Sharp is a film producer known for his work on independent and literary adaptation projects in American cinema.
-
B.
Charlie Graham
Charlie Graham is the troubled young daughter whose eerie behavior and tragic fate drive much of the psychological and supernatural horror in the film "Hereditary."
-
C.
Paul Givan
Paul Givan is a Democratic Unionist Party politician who served as First Minister of Northern Ireland.
-
D.
Alan Milburn
Alan Milburn is a British Labour politician and former Secretary of State for Health who later became a prominent figure in public service reform and higher education leadership.
-
E.
Douglas Guilfoyle
Douglas Guilfoyle is an international law scholar known for his work on the law of the sea, maritime security, and international criminal law.
- 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_69ab4957b3a88190adf968ae0c1b931c |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1c9f80c8190b40ada396e184e75 |
completed | March 7, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2b8bc7708190a507136d1f9f34ca |
completed | March 9, 2026, 8:20 p.m. |
Created at: March 6, 2026, 9:46 p.m.