Triple
T9978462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denise McNair |
E196389
|
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: [Denise McNair, familyName, McNair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McNair Context triple: [Denise 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.
Fuqua
Fuqua is a surname of likely French origin borne by various notable individuals, including American politician Don Fuqua.
-
D.
McClanahan
McClanahan is the surname of Rue McClanahan, the American actress best known for playing Blanche Devereaux on the television series "The Golden Girls."
-
E.
McCauley
McCauley is the maiden surname of Rosa Parks, the prominent American civil rights activist known for her pivotal role in the Montgomery bus boycott.
- 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_69ca82efbce081908179b4b9c65096eb |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb84ef8ac8190abbe78b7611c5309 |
completed | April 2, 2026, 12:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23dec07b48190a2c15a748324291b |
completed | April 5, 2026, 10:48 a.m. |
Created at: March 30, 2026, 8:49 p.m.