Triple

T19091590
Position Surface form Disambiguated ID Type / Status
Subject Tanee McCall E467298 entity
Predicate performedIn P795 FINISHED
Object Starsky & Hutch NE NERFINISHED

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: Starsky & Hutch | Statement: [Tanee McCall, performedIn, Starsky & Hutch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Starsky & Hutch
Context triple: [Tanee McCall, performedIn, Starsky & Hutch]
  • A. Starsky & Hutch chosen
    Starsky & Hutch is a 2004 action-comedy film adaptation of the 1970s TV series, starring Ben Stiller and Owen Wilson as mismatched detectives in a stylized, humorous take on buddy-cop crime fighting.
  • B. Dragnet
    Dragnet is a 1987 comedy crime film that parodies the classic police procedural TV series, starring Dan Aykroyd and Tom Hanks as mismatched Los Angeles detectives.
  • C. Matlock Police
    Matlock Police is an Australian television crime drama series centered on the cases and lives of police officers in the fictional rural town of Matlock.
  • D. Walker, Texas Ranger
    Walker, Texas Ranger is an American action crime television series starring Chuck Norris as a martial artist lawman who fights crime in Texas.
  • E. Adam-12
    Adam-12 is an American television police drama series that followed two LAPD patrol officers on their daily calls and helped popularize a realistic, procedural depiction of urban policing in the late 1960s and early 1970s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e34b6b348190bb868356ed8b655a completed April 20, 2026, 8:26 a.m.
Created at: April 10, 2026, 12:04 p.m.