Triple

T15103855
Position Surface form Disambiguated ID Type / Status
Subject Police Academy 3: Back in Training E360736 entity
Predicate editedBy P1954 FINISHED
Object Bud Molin E306274 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: Bud Molin | Statement: [Police Academy 3: Back in Training, editedBy, Bud Molin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bud Molin
Context triple: [Police Academy 3: Back in Training, editedBy, Bud Molin]
  • A. Bud Molin chosen
    Bud Molin was an American film and television editor best known for his work on numerous comedies, including collaborations with director Carl Reiner.
  • B. Bart Andrus
    Bart Andrus is an American football coach best known for his work in NFL Europe and various professional and collegiate coaching roles.
  • C. Bud Freeman
    Bud Freeman was an influential American jazz tenor saxophonist known for his work in the Chicago jazz scene and with the Austin High School Gang.
  • D. Ned Homfeld
    Ned Homfeld is an American entrepreneur best known for founding Spirit Airlines, a major U.S. ultra-low-cost carrier.
  • E. Bud Jamison
    Bud Jamison was an American character actor best known for his prolific work in early Hollywood comedies, particularly in numerous short films with The Three Stooges and other slapstick stars.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00551521c8190b48d1a074bb4bdfc completed April 15, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae274f6881908931569efc09996e completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 3:05 a.m.