Triple
T3564582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Starsky & Hutch |
E75413
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Juliette Lewis |
E71030
|
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: Juliette Lewis | Statement: [Starsky & Hutch, starring, Juliette Lewis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juliette Lewis Context triple: [Starsky & Hutch, starring, Juliette Lewis]
-
A.
Juliette Lewis
chosen
Juliette Lewis is an American actress and singer known for her intense, offbeat performances in films such as "Cape Fear," "Natural Born Killers," and numerous independent productions.
-
B.
Christina Ricci
Christina Ricci is an American actress known for her darkly quirky roles in films such as The Addams Family, Casper, and Sleepy Hollow.
-
C.
Dylan Penn
Dylan Penn is an American model and actress, known for her work in fashion campaigns and film roles as well as being the daughter of actors Sean Penn and Robin Wright.
-
D.
Anna Paquin
Anna Paquin is an Academy Award–winning Canadian-born New Zealand actress known for films such as "The Piano," the "X-Men" series, and the TV series "True Blood."
-
E.
Marissa Ribisi
Marissa Ribisi is an American actress known for her roles in films like "Dazed and Confused" and "Pleasantville."
- 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_69ad85d512708190829c8b2d3a2ccfb8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0a76c008190a2056b6d990776fe |
completed | March 8, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b432ffc2f4819099b340be8c6b5bb6 |
completed | March 13, 2026, 3:53 p.m. |
Created at: March 8, 2026, 3:21 p.m.