Triple

T11136544
Position Surface form Disambiguated ID Type / Status
Subject Lee Blanchard E263427 entity
Predicate colleague P398 FINISHED
Object Bucky Bleichert E282795 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: Bucky Bleichert | Statement: [Lee Blanchard, colleague, Bucky Bleichert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bucky Bleichert
Context triple: [Lee Blanchard, colleague, Bucky Bleichert]
  • A. Dwight "Bucky" Bleichert chosen
    Dwight "Bucky" Bleichert is a fictional Los Angeles police detective and former boxer who serves as the protagonist of James Ellroy’s crime novel *The Black Dahlia*.
  • B. Jack Kehler
    Jack Kehler was an American character actor known for his quirky supporting roles in films and television, including appearances in works like The Big Lebowski and Men in Black II.
  • C. Fred Schuler
    Fred Schuler is a cinematographer best known for his work on films such as the 1980 comedy "Stir Crazy."
  • D. Marshall Blechtman
    Marshall Blechtman is a quirky, socially awkward high school student and one of the central teen characters in the early-1980s sitcom "Square Pegs."
  • E. Joe Weinstock
    Joe Weinstock is a television producer best known for his executive production work on the science-themed docuseries "The End Is Nye."
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e85daddc8190a1ae2a4a75cc8d50 completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f01869e6c8819093f2768b57b183aa completed April 28, 2026, 2:16 a.m.
Created at: April 8, 2026, 9:28 p.m.