Triple

T5547312
Position Surface form Disambiguated ID Type / Status
Subject Enchanted E145439 entity
Predicate producer P490 FINISHED
Object Barry Josephson E380076 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: Barry Josephson | Statement: [Enchanted, producer, Barry Josephson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barry Josephson
Context triple: [Enchanted, producer, Barry Josephson]
  • A. Barry Josephson chosen
    Barry Josephson is an American film and television producer known for his work on series such as "Bones" and various feature films.
  • B. Barry Munitz
    Barry Munitz is an American academic administrator and former university system leader best known for serving as chancellor of the California State University and later heading the J. Paul Getty Trust.
  • C. Barry Eisenberg
    Barry Eisenberg is the father of former child actress Hallie Kate Eisenberg, known for her Pepsi commercials and film roles in the late 1990s and early 2000s.
  • D. Ralph Berkowitz
    Ralph Berkowitz was an American pianist, accompanist, and arts administrator known for his influential work in classical music performance and education.
  • E. Barry Glick
    Barry Glick is an entrepreneur and technologist best known as a co-founder of the online mapping and navigation company MapQuest.
  • 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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fe0244c8190aeb995f79f22a039 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d4fa68c08190bb656aef231a9df0 completed March 27, 2026, 7:05 p.m.
Created at: March 22, 2026, 3:35 p.m.