Triple

T17328711
Position Surface form Disambiguated ID Type / Status
Subject Scott Paulin E420755 entity
Predicate notableWork P4 FINISHED
Object T. J. Hooker E604431 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: T. J. Hooker | Statement: [Scott Paulin, notableWork, T. J. Hooker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: T. J. Hooker
Context triple: [Scott Paulin, notableWork, T. J. Hooker]
  • A. Lieutenant Theo Kojak
    Lieutenant Theo Kojak is a tough, lollipop-licking New York City police detective from the 1970s television series "Kojak," known for his bald head, sharp wit, and unorthodox methods.
  • B. David Starsky
    David Starsky is a fictional, streetwise and energetic undercover detective from the 1970s television series "Starsky & Hutch," known for his close partnership with Ken "Hutch" Hutchinson and their iconic red Ford Gran Torino.
  • C. Don Flack
    Don Flack is a tough, street-smart NYPD homicide detective featured as a central character in the television series CSI: NY.
  • D. Melvin Frohike
    Melvin Frohike is a conspiracy-obsessed, tech-savvy hacker and member of the Lone Gunmen trio from The X-Files universe.
  • E. T.J. Hooker (TV series) chosen
    T.J. Hooker is an American police drama television series from the 1980s starring William Shatner as a veteran cop training new recruits.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439d42154819093a240f677a63145 completed April 19, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c4dff088190833122dbe2981045 completed May 11, 2026, 7:59 a.m.
Created at: April 10, 2026, 5:43 a.m.