Triple
T20078974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Hurley |
E499945
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Steve Hurley |
—
|
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: Steve Hurley | Statement: [Steve Hurley, name, Steve Hurley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Hurley Context triple: [Steve Hurley, name, Steve Hurley]
-
A.
Steve Hurley
chosen
Steve Hurley is an American DJ, producer, and remixer known as a pioneering figure in Chicago house music.
-
B.
Mike Hurst
Mike Hurst is a British record producer and musician best known for his work in the 1960s with artists such as Cat Stevens and Manfred Mann.
-
C.
Michael Hurd
Michael Hurd is a British composer and musicologist best known for his choral works, educational music, and accessible compositions for amateur performers.
-
D.
Mike Hurley
Mike Hurley is a Canadian politician and former firefighter who serves as the mayor of Burnaby, British Columbia.
-
E.
Roger Hurley
Roger Hurley is the central protagonist of the crime drama series "Bodies," around whom the show's primary investigation and narrative revolve.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6643e216c819088c002fc1de2772a |
completed | April 20, 2026, 5:37 p.m. |
Created at: April 11, 2026, 3:40 p.m.