Triple
T11261982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lesley J. McNair |
E266584
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | McNair |
E205217
|
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: McNair | Statement: [Lesley J. McNair, familyName, McNair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McNair Context triple: [Lesley J. McNair, familyName, McNair]
-
A.
McNair
chosen
McNair is a Scottish-origin surname borne by various notable individuals, including American physicist and NASA astronaut Ronald McNair.
-
B.
Weatherspoon
Weatherspoon is a surname most prominently associated with former WNBA star and Hall of Fame basketball player Teresa Weatherspoon.
-
C.
MacAuliffe
MacAuliffe is a surname, a spelling variant of McAuliffe, of Irish origin.
-
D.
Fuqua
Fuqua is a surname of likely French origin borne by various notable individuals, including American politician Don Fuqua.
-
E.
McClanahan
McClanahan is the surname of Rue McClanahan, the American actress best known for playing Blanche Devereaux on the television series "The Golden Girls."
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e94c066c8190be1e032eb328e5fe |
completed | April 9, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ccba233481909f00ebe2237c4f0c |
completed | April 19, 2026, 12:38 p.m. |
Created at: April 8, 2026, 9:31 p.m.