Triple

T9229965
Position Surface form Disambiguated ID Type / Status
Subject Abby Mann E221789 entity
Predicate notableWork P4 FINISHED
Object Kojak E120046 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: Kojak | Statement: [Abby Mann, notableWork, Kojak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kojak
Context triple: [Abby Mann, notableWork, Kojak]
  • A. Kojak chosen
    Kojak is a 1970s American television crime drama series centered on the tough, lollipop-licking New York City detective Theo Kojak, played by Telly Savalas.
  • B. 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.
  • C. Columbo
    Columbo is a classic American television crime drama series centered on a seemingly bumbling but brilliant homicide detective known for his trench coat, cigar, and relentless, subtle interrogations.
  • D. Banacek
    Banacek is a 1970s American television mystery series featuring George Peppard as a suave, Polish-American insurance investigator who solves seemingly impossible thefts.
  • E. Nash Bridges
    Nash Bridges is an American television crime drama series set in San Francisco, starring Don Johnson as a charismatic police inspector.
  • 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_69ca83ed628c8190bc02d641e57f097f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccee17a2dc8190b373f78be7247f0d completed April 1, 2026, 10:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077a789f0819087d7f7612bbeaf6a completed April 4, 2026, 2:29 a.m.
Created at: March 30, 2026, 7:29 p.m.