Triple

T5433609
Position Surface form Disambiguated ID Type / Status
Subject Medium Cool E121553 entity
Predicate stars P1956 FINISHED
Object Peter Bonerz E292614 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: Peter Bonerz | Statement: [Medium Cool, stars, Peter Bonerz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Bonerz
Context triple: [Medium Cool, stars, Peter Bonerz]
  • A. Peter Bonerz chosen
    Peter Bonerz is an American actor and director best known for his role as Dr. Jerry Robinson on the classic television sitcom "The Bob Newhart Show."
  • B. Robby Mook
    Robby Mook is an American political strategist best known for serving as campaign manager for Hillary Clinton’s 2016 U.S. presidential campaign.
  • C. Travis Banton
    Travis Banton was a prominent American Hollywood costume designer best known for his glamorous, influential work at Paramount Pictures during the 1920s and 1930s.
  • D. Bobby Wanzer
    Bobby Wanzer was an American professional basketball guard best known as a Hall of Famer who starred for the Rochester Royals in the NBA during the 1950s.
  • E. Ray Nazarro
    Ray Nazarro was an American film director best known for his prolific work on low-budget Westerns and action films during the 1940s and 1950s.
  • 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_69bd463c65f0819082ee6483ab4b466a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91ae18cc8190aefe610f91b5382c completed March 20, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3accb6748190989257c3b991a760 completed March 22, 2026, 12:41 a.m.
Created at: March 20, 2026, 2:06 p.m.