Triple
T21708325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quigley |
E535828
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Mike 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: Mike Quigley | Statement: [Quigley, hasNotableBearer, Mike Quigley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Quigley Context triple: [Quigley, hasNotableBearer, Mike Quigley]
-
A.
Mike Quigley
chosen
Mike Quigley is an American Democratic politician and U.S. Representative known for serving the Chicago-area 5th congressional district in Illinois.
-
B.
Brian Gaskill
Brian Gaskill is an American actor best known for his roles on various television soap operas and dramas, including "Models Inc."
-
C.
Richard Durbin
Richard Durbin is a prominent British computational biologist and bioinformatician known for his influential work on genome analysis and contributions to major sequencing projects.
-
D.
Ron Kirk
Ron Kirk is an American politician and lawyer who served as mayor of Dallas and later as the United States Trade Representative under President Barack Obama.
-
E.
Mike Bacich
Mike Bacich is a musician best known as a member of the American new wave band Oingo Boingo.
- 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.