Triple

T5317522
Position Surface form Disambiguated ID Type / Status
Subject King Ralph E121586 entity
Predicate producer P490 FINISHED
Object Gail Katz E300014 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: Gail Katz | Statement: [King Ralph, producer, Gail Katz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gail Katz
Context triple: [King Ralph, producer, Gail Katz]
  • A. Gail Katz chosen
    Gail Katz is an American film and television producer known for working on major Hollywood projects including the disaster drama "The Perfect Storm."
  • B. Gloria Katz
    Gloria Katz was an American screenwriter and producer best known for her collaborations with George Lucas, including work on films like "American Graffiti" and "Star Wars."
  • C. Gail Berman
    Gail Berman is an American television and film producer and media executive known for her influential roles at major studios and for producing high-profile projects across network TV and Hollywood.
  • D. Barbara Siegel
    Barbara Siegel is an American author best known for co-writing numerous science fiction and fantasy novels and game-related books, often in collaboration with her husband Scott Siegel.
  • E. Judy Levitt
    Judy Levitt is an American actress best known for her long marriage to Star Trek actor Walter Koenig and for appearing in several of his film and television projects.
  • 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_69bd463d956c819088105c3db802c017 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd855269ac8190bb7a9248d04f1823 completed March 20, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfc9d6fb208190b81250ddbcd03b9b completed March 22, 2026, 10:52 a.m.
Created at: March 20, 2026, 1:59 p.m.