Triple

T15115003
Position Surface form Disambiguated ID Type / Status
Subject Barry Munitz E361012 entity
Predicate name P16 FINISHED
Object Barry Munitz 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: Barry Munitz | Statement: [Barry Munitz, name, Barry Munitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barry Munitz
Context triple: [Barry Munitz, name, Barry Munitz]
  • A. Barry Munitz chosen
    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.
  • B. Donald Meltzer
    Donald Meltzer was a British psychoanalyst known for his influential work in child analysis, aesthetic experience, and the development of Kleinian psychoanalytic theory.
  • C. Barry Josephson
    Barry Josephson is an American film and television producer known for his work on series such as "Bones" and various feature films.
  • D. Murray Panitz
    Murray Panitz was a prominent American flutist and longtime principal flute of the Philadelphia Orchestra, known for his influential performances and teaching.
  • E. Norman Barasch
    Norman Barasch was an American playwright and television writer best known for co-writing the stage play that became the basis for the film "Send Me No Flowers."
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0058f4fb88190a3d446a466aebcf1 completed April 15, 2026, 9:39 p.m.
Created at: April 10, 2026, 3:05 a.m.