Triple

T7494532
Position Surface form Disambiguated ID Type / Status
Subject Beauty and the Beast (2017 film) E177090 entity
Predicate editedBy 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: [Beauty and the Beast (2017 film), editedBy, Virginia Katz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Virginia Katz
Context triple: [Beauty and the Beast (2017 film), editedBy, 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. Gail Katz
    Gail Katz is an American film and television producer known for working on major Hollywood projects including the disaster drama "The Perfect Storm."
  • C. Barbara Kean
    Barbara Kean is a character in the Batman universe, often depicted as James Gordon’s wife and the mother of Batgirl, with varying portrayals across comics, films, and television adaptations.
  • D. Mary Catlett
    Mary Catlett was the wife of English Anglican clergyman and hymn writer John Newton, known for her supportive role in his life and ministry.
  • E. Pam Katz
    Pam Katz is an American screenwriter known for co-writing historical and biographical films, including the 2012 drama "Hannah Arendt."
  • 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_69c69f2583808190bd1a4936c42a5815 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f57b5b4c8190ab839e6a98ee86ed completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d02f04ab008190a4c98a8f00ec4c20 completed April 3, 2026, 9:20 p.m.
Created at: March 27, 2026, 3:43 p.m.