Triple
T3611627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Craig |
E76501
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | David Craig |
E76501
|
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: David Craig | Statement: [David Craig, name, David Craig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Craig Context triple: [David Craig, name, David Craig]
-
A.
David Craig
chosen
David Craig is a senior Royal Air Force officer who rose to become Chief of the Air Staff and later Chief of the Defence Staff of the United Kingdom.
-
B.
Mark Strong
Mark Strong is a British actor known for his intense screen presence and frequent roles as complex villains or stern mentors in films such as "Kingsman," "Sherlock Holmes," and "Tinker Tailor Soldier Spy."
-
C.
Stephen Norton
Stephen Norton is a mathematician known for his contributions to the theory of finite groups and the Monster group in particular.
-
D.
Kevin Whately
Kevin Whately is an English actor best known for his role as Detective Sergeant Robbie Lewis in the television series "Inspector Morse" and its spin-off "Lewis."
-
E.
James Cromwell
James Cromwell is an American character actor known for his tall stature and acclaimed roles in films such as "Babe," "L.A. Confidential," and "The Green Mile," as well as numerous television appearances.
- 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_69ad85da0ba481908b3b48c69efe2b98 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc22e5b30819084184b730732c727 |
completed | March 8, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b672133044819089d54cca5ed6a063 |
completed | March 15, 2026, 8:47 a.m. |
Created at: March 8, 2026, 3:23 p.m.