Triple
T550752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jackie Brown |
E11833
|
entity |
| Predicate | stars |
P1956
|
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: [Jackie Brown, stars, Pam Grier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pam Grier Context triple: [Jackie Brown, stars, 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.
Foxy Brown
Foxy Brown is an American rapper known for her influential work in 1990s hip hop, including the album "Ill Na Na" and her membership in the group The Firm.
-
C.
Lorraine Gary
Lorraine Gary is an American actress best known for playing Ellen Brody in the Jaws film series.
-
D.
Verna Fields
Verna Fields was an American film editor best known for her Oscar-winning work on the blockbuster thriller "Jaws" and her influential role in New Hollywood cinema.
-
E.
Jenifer Lewis
Jenifer Lewis is an American actress, singer, and comedian known for her dynamic supporting roles in film and television, including her work in musical and family-oriented movies.
- 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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a499030cf4819089b9163102255e49 |
completed | March 1, 2026, 7:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4e0301ea08190ada81259b7c862f6 |
completed | March 2, 2026, 12:56 a.m. |
Created at: March 1, 2026, 7:32 p.m.