Triple

T9854133
Position Surface form Disambiguated ID Type / Status
Subject Material Girls E239541 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: [Material Girls, editedBy, Virginia Katz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Virginia Katz
Context triple: [Material Girls, 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_69ca84e4fdc08190a624425bcef98665 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb376d32c819089381cf6ed83629d completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d299c51ea08190902e03552fbe7ebb completed April 5, 2026, 5:20 p.m.
Created at: March 30, 2026, 8:34 p.m.