Triple

T15158962
Position Surface form Disambiguated ID Type / Status
Subject Police Academy 4: Citizens on Patrol E362154 entity
Predicate starring P1507 FINISHED
Object David Graf E1100628 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: David Graf | Statement: [Police Academy 4: Citizens on Patrol, starring, David Graf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Graf
Context triple: [Police Academy 4: Citizens on Patrol, starring, David Graf]
  • A. David Graf chosen
    David Graf was an American character actor best known for his comedic role as the gun-obsessed Officer Eugene Tackleberry in the Police Academy film series.
  • B. Robert Graf
    Robert Graf is a film and television producer best known for his work on major projects such as the sports drama "Battle of the Sexes."
  • C. David Kaemmer
    David Kaemmer is a video game designer and programmer best known as the co-founder of Papyrus Design Group and iRacing, where he created influential racing simulation games.
  • D. Daniel Roher
    Daniel Roher is a Canadian documentary filmmaker best known for directing the Oscar-winning political documentary "Navalny."
  • E. David Wolfert
    David Wolfert is an American songwriter, guitarist, and producer known for his work on numerous pop and R&B recordings, including co-writing the ballad "I Believe in You and Me."
  • 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_69febffaa4b88190aab36fdae057e6d2 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:08 a.m.