Triple
T7568751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Napheesa Collier |
E179185
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Collier |
E179185
|
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: Collier | Statement: [Napheesa Collier, hasSurname, Collier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Collier Context triple: [Napheesa Collier, hasSurname, Collier]
-
A.
Collier
chosen
Collier is a surname most prominently associated in sports with Napheesa Collier, an American professional basketball player and WNBA All-Star.
-
B.
Cabell
Cabell is a surname of English origin borne by various notable individuals, including American politician Earle Cabell.
-
C.
Clearwater
Clearwater is a coastal city in Florida known for its white-sand beaches, tourism, and location on the Gulf of Mexico within the greater Tampa Bay metropolitan area.
-
D.
Perdido
"Perdido" is a jazz standard composed by Juan Tizol that became widely known through Duke Ellington’s orchestra and numerous subsequent recordings.
-
E.
Bogue
Bogue is a locality in southern China near the Pearl River Delta that historically served as a strategic site for foreign trade and treaty negotiations during the 19th century.
- 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_69c69f316e50819081a271c85c06f918 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f91d9bfc8190af6f5f8211c3dda2 |
completed | March 27, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856e475348190a7c1e9872b513899 |
completed | March 28, 2026, 10:32 p.m. |
Created at: March 27, 2026, 3:51 p.m.