Triple
T13790809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grier |
E331389
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Pam Grier |
E65189
|
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: Pam Grier | Statement: [Grier, hasNotableBearer, Pam Grier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pam Grier Context triple: [Grier, hasNotableBearer, Pam Grier]
-
A.
Pam Grier
chosen
Pam Grier is an iconic American actress best known for her groundbreaking roles in 1970s blaxploitation films such as "Coffy" and "Foxy Brown," which established her as a pioneering Black female action star.
-
B.
Donna Peele
Donna Peele is an American former model best known for her brief mid-1990s marriage to actor Charlie Sheen.
-
C.
Queenie Shaw
Queenie Shaw is a character in the Fast & Furious film franchise, known as the sharp-witted and formidable matriarch of the Shaw family.
-
D.
Gia Carangi
Gia Carangi was a pioneering American fashion model of the late 1970s and early 1980s, often regarded as one of the first supermodels and a tragic icon due to her early death from AIDS-related complications.
-
E.
Madolyn Smith
Madolyn Smith is an American actress best known for her film and television roles in the 1980s, including prominent performances in comedies and dramas.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de024af32c8190a9bd1278e09564ba |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd466ac0f08190b99dd4cdcef339c6 |
completed | May 8, 2026, 2:11 a.m. |
Created at: April 9, 2026, 10:11 p.m.