Triple
T21708351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quigley |
E535828
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Tony Quigley |
—
|
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: Tony Quigley | Statement: [Quigley, hasNotableBearer, Tony Quigley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Quigley Context triple: [Quigley, hasNotableBearer, Tony Quigley]
-
A.
Tony Quigley
chosen
Tony Quigley is a musician best known as a member of the influential English post-punk band A Certain Ratio.
-
B.
Anthony Keane
Anthony Keane is the fictional London barrister protagonist of the film "The Paradine Case," whose professional duty becomes dangerously entangled with his personal emotions during a high-profile murder trial.
-
C.
Michael Essex
Michael Essex is known as the husband of Hillary Whitney.
-
D.
Stephen Carlile
Stephen Carlile is a British stage actor best known for playing Scar in the Broadway and touring productions of Disney’s The Lion King.
-
E.
John Quaintance
John Quaintance is a screenwriter best known for his work on the comedy film "Material Girls."
- 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb5314a288190b4b8347cca15aaa8 |
completed | April 27, 2026, 7:12 p.m. |
Created at: April 16, 2026, 6:46 p.m.