Triple

T10470737
Position Surface form Disambiguated ID Type / Status
Subject Wednesday (TV series) E246914 entity
Predicate executiveProducer P7225 FINISHED
Object Gail Berman E407590 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 Berman | Statement: [Wednesday (TV series), executiveProducer, Gail Berman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gail Berman
Context triple: [Wednesday (TV series), executiveProducer, Gail Berman]
  • A. Gail Berman chosen
    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.
  • B. Gail Berke
    Gail Berke is a central protagonist in the adventure film "The Deep," known for becoming entangled in a dangerous underwater treasure hunt.
  • C. 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."
  • D. Jill Krementz
    Jill Krementz is an American photographer and author best known for her portraits of writers and her work in children's literature.
  • E. Joyce Piven
    Joyce Piven is an American acting teacher, director, and co-founder of the Piven Theatre Workshop, known for training numerous prominent actors including her son Jeremy Piven.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509305fec81908b1acd91ae1f875d completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69deb028c0788190ae8d6750f2f9634e completed April 14, 2026, 9:22 p.m.
Created at: April 6, 2026, 12:20 p.m.