Triple
T2594161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brittney Griner |
E58189
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Griner |
E58189
|
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: Griner | Statement: [Brittney Griner, familyName, Griner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Griner Context triple: [Brittney Griner, familyName, Griner]
-
A.
Brittney Griner
chosen
Brittney Griner is an American professional basketball player and two-time Olympic gold medalist known for her dominant shot-blocking, dunking ability, and WNBA career with the Phoenix Mercury.
-
B.
Saffron Aldridge
Saffron Aldridge is a British fashion model known for her work in the 1990s, including campaigns for brands like Ralph Lauren and Calvin Klein.
-
C.
Me'arah O'Neal
Me'arah O'Neal is an American basketball player and social media personality, best known as the youngest daughter of NBA Hall of Famer Shaquille O'Neal.
-
D.
Maya Harris
Maya Harris is an American lawyer, public policy advocate, and political strategist who has served as a senior advisor on major Democratic campaigns and in civil rights organizations.
-
E.
Steph Lady
Steph Lady is a screenwriter best known for co-writing the 1994 film adaptation of Mary Shelley's "Frankenstein."
- 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_69ab4ac019c8819094add11c46706e32 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd427f58c8190af1c1a9724158c96 |
completed | March 7, 2026, 7:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af907835188190914a241e8bdf0d4f |
completed | March 10, 2026, 3:31 a.m. |
Created at: March 6, 2026, 9:49 p.m.