Triple
T23455136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blair Underwood |
E567900
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Blair |
—
|
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: Blair | Statement: [Blair Underwood, givenName, Blair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blair Context triple: [Blair Underwood, givenName, Blair]
-
A.
Blair
Blair is the party who served as the respondent in the U.S. Supreme Court case Ray v. Blair, which addressed the authority of political parties to require loyalty pledges from presidential electors.
-
B.
Blair
Blair is an Australian federal electoral division in Queensland represented in the House of Representatives.
-
C.
Blair
Blair is the central protagonist of the "Black Bear" story, around whom the main events and character dynamics revolve.
-
D.
Blair
chosen
Blair is a given name most notably associated with the fictional character Blair Cramer from the American soap opera "One Life to Live."
-
E.
Blair
Blair is one of the central protagonists in the 2017 dark comedy film "Rough Night," portrayed as part of a group of friends whose wild bachelorette weekend spirals out of control.
- 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_69e2458b4c888190b1d7998f9862a558 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a696e6c48190a7159292cfe3362f |
completed | April 29, 2026, 6:35 a.m. |
Created at: April 17, 2026, 5:53 p.m.