Triple

T20868538
Position Surface form Disambiguated ID Type / Status
Subject Time Out of Mind E513826 entity
Predicate cinematographyBy P1953 FINISHED
Object Bobby Bukowski NE NERFINISHED

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: Bobby Bukowski | Statement: [Time Out of Mind, cinematographyBy, Bobby Bukowski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bobby Bukowski
Context triple: [Time Out of Mind, cinematographyBy, Bobby Bukowski]
  • A. Bobby Bukowski chosen
    Bobby Bukowski is an American cinematographer known for his work on independent and socially conscious films, including the drama "99 Homes."
  • B. Bobby Draper
    Bobby Draper is one of Don and Betty Draper’s children on the television series "Mad Men," representing the changing experiences of American youth during the 1960s.
  • C. Elmore Brooks
    Elmore Brooks, better known as Elmore James, was an influential American blues guitarist, singer, and songwriter celebrated as the "King of the Slide Guitar."
  • D. Joe B. Brown
    Joe B. Brown was the Texas judge best known for presiding over the high-profile trial of Jack Ruby, the man who killed Lee Harvey Oswald.
  • E. Bryan Unkeless
    Bryan Unkeless is a film producer known for working on acclaimed movies such as "I, Tonya" and other high-profile Hollywood projects.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4f675cc8190b4e745225b62eb66 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c4624ce48190b85e5bb24cf0a305 completed April 21, 2026, 12:27 a.m.
Created at: April 16, 2026, 12:45 p.m.