Triple
T1230993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gregory Hines |
E26441
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hines |
E120757
|
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: Hines | Statement: [Gregory Hines, familyName, Hines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hines Context triple: [Gregory Hines, familyName, Hines]
-
A.
Hines
chosen
Hines is a surname most famously associated with Earl Hines, the influential American jazz pianist and bandleader.
-
B.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
-
C.
Harbison
Harbison is a surname most notably associated with American composer John Harbison, known for his contributions to contemporary classical music.
-
D.
Willis
Willis is a masculine given name and surname of English origin, often considered a variant or cognate of the name Wilson.
-
E.
Harrison
Harrison is a city in New Jersey’s Hudson County, known as a residential and industrial community within the New York metropolitan area.
- 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_69a4948571c88190a9191e451e6035fd |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be585674819099218b19ca9e7c66 |
completed | March 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8a1457a08190aef2f7fed6c6725f |
completed | March 7, 2026, 8:27 p.m. |
Created at: March 1, 2026, 7:47 p.m.