Triple

T14479199
Position Surface form Disambiguated ID Type / Status
Subject Police Academy 2: Their First Assignment E359055 entity
Predicate stars P1956 FINISHED
Object Howard Hesseman E380943 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: Howard Hesseman | Statement: [Police Academy 2: Their First Assignment, stars, Howard Hesseman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Hesseman
Context triple: [Police Academy 2: Their First Assignment, stars, Howard Hesseman]
  • A. Howard Hesseman chosen
    Howard Hesseman was an American actor and comedian best known for his role as DJ Dr. Johnny Fever on the television sitcom "WKRP in Cincinnati."
  • B. William H. Murray
    William H. Murray was an American lawyer and politician who served as the ninth governor of Oklahoma and was a prominent figure in the state’s early political history.
  • C. Kurtwood Smith
    Kurtwood Smith is an American character actor best known for playing the strict father Red Forman on the sitcom "That '70s Show" and for roles in films like "RoboCop."
  • D. Wayne Rogers
    Wayne Rogers was an American actor best known for playing Captain "Trapper John" McIntyre on the television series M*A*S*H.
  • E. Gil Birmingham
    Gil Birmingham is an American actor known for his powerful supporting roles in film and television, including prominent appearances in series like Yellowstone and the Twilight Saga films.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de924a576c819098351efabdb779b1 completed April 14, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda90c365481908a8a060cb1908775 completed May 8, 2026, 9:12 a.m.
Created at: April 10, 2026, 1:20 a.m.