Triple

T3564584
Position Surface form Disambiguated ID Type / Status
Subject Starsky & Hutch E75413 entity
Predicate starring P1507 FINISHED
Object Amy Smart E315741 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: Amy Smart | Statement: [Starsky & Hutch, starring, Amy Smart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amy Smart
Context triple: [Starsky & Hutch, starring, Amy Smart]
  • A. Amy Smart chosen
    Amy Smart is an American actress and former fashion model known for her roles in films such as "Crank," "Road Trip," and "The Butterfly Effect."
  • B. Alicia Silverstone
    Alicia Silverstone is an American actress best known for her breakout role in the 1995 teen comedy film "Clueless," which made her a pop culture icon of the 1990s.
  • C. Tara Reid
    Tara Reid is an American actress best known for her roles in films like "American Pie" and "The Big Lebowski," as well as the "Sharknado" television movie series.
  • D. Tiffani Thiessen
    Tiffani Thiessen is an American actress best known for her roles on the television series "Saved by the Bell" and "Beverly Hills, 90210."
  • E. Julia Stiles
    Julia Stiles is an American actress best known for her roles in films like "10 Things I Hate About You," "Save the Last Dance," and the "Bourne" series, as well as her work in television and theater.
  • 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_69b402e8628c81909913974602782b7a completed March 13, 2026, 12:28 p.m.
Created at: March 8, 2026, 3:21 p.m.