Triple

T1225923
Position Surface form Disambiguated ID Type / Status
Subject Dreamgirls E26325 entity
Predicate editor P1954 FINISHED
Object Virginia Katz E199467 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: Virginia Katz | Statement: [Dreamgirls, editor, Virginia Katz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Virginia Katz
Context triple: [Dreamgirls, editor, Virginia Katz]
  • A. Virginia Katz chosen
    Virginia Katz is a film editor known for her work on major Hollywood productions, including entries in the Twilight Saga.
  • B. Liz Sherman
    Liz Sherman is a powerful pyrokinetic human and key member of the Bureau for Paranormal Research and Defense in the Hellboy comic and film series.
  • C. Jane Belson
    Jane Belson was a British barrister best known as the wife of author Douglas Adams.
  • D. Dorothy Goetz
    Dorothy Goetz was the first wife of American composer Irving Berlin, remembered largely for her brief marriage and early death, which deeply influenced his later work.
  • E. Mary Grace Slattery
    Mary Grace Slattery was the first wife of American playwright Arthur Miller, whom he married before achieving his major theatrical success.
  • 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_69a49484688c8190a1bf285eb396a8b6 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be39908481908cca21aaf0828415 completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69af903825d881909c3f2ec2c307019d completed March 10, 2026, 3:30 a.m.
Created at: March 1, 2026, 7:47 p.m.