Triple

T15158969
Position Surface form Disambiguated ID Type / Status
Subject Police Academy 4: Citizens on Patrol E362154 entity
Predicate starring P1507 FINISHED
Object Tim Kazurinsky E623596 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: Tim Kazurinsky | Statement: [Police Academy 4: Citizens on Patrol, starring, Tim Kazurinsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tim Kazurinsky
Context triple: [Police Academy 4: Citizens on Patrol, starring, Tim Kazurinsky]
  • A. Tim Kazurinsky chosen
    Tim Kazurinsky is an American actor, comedian, and screenwriter best known for his work on "Saturday Night Live" in the early 1980s and for co-writing several films including entries in the "Police Academy" series.
  • B. Matt Kaufmann
    Matt Kaufmann is a computer scientist best known for his work on automated theorem proving and the ACL2 theorem prover, often in collaboration with J Strother Moore.
  • C. Max Zaritsky
    Max Zaritsky was an American labor leader and union organizer who played a key role in the early development of industrial unionism in the United States.
  • D. Michael Kuzak
    Michael Kuzak is a central attorney character on the television legal drama "L.A. Law," known for his idealism and high-profile courtroom battles.
  • E. Michael Kessler
    Michael Kessler is a German actor and comedian known for his work in film, television, and sketch comedy.
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0060dd71881908ecc4a4f52d438a5 completed April 15, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec885d68c8190999529b69bc34fec completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 3:08 a.m.