Triple

T4359132
Position Surface form Disambiguated ID Type / Status
Subject Killer Films E98620 entity
Predicate hasKeyPerson P256 FINISHED
Object Pam Koffler E445582 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: Pam Koffler | Statement: [Killer Films, hasKeyPerson, Pam Koffler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pam Koffler
Context triple: [Killer Films, hasKeyPerson, Pam Koffler]
  • A. Pam Koffler chosen
    Pam Koffler is an American film producer and co-founder of the independent production company Killer Films, known for acclaimed art-house and LGBTQ-themed cinema.
  • B. Nancy Shevell
    Nancy Shevell is an American businesswoman and heiress best known for her long-term relationship and marriage to musician Paul McCartney.
  • C. Barbara Pewterschmidt
    Barbara Pewterschmidt is Lois Griffin’s wealthy, snobbish mother and Stewie Griffin’s maternal grandmother in the animated series "Family Guy."
  • D. Barbara Heinzen
    Barbara Heinzen was the wife of William Colby, the former Director of Central Intelligence of the United States.
  • E. Denise Lakofski
    Denise Lakofski, better known as Denise Scott Brown, is a pioneering architect, urban planner, and theorist whose work and writings have profoundly influenced postmodern architecture and urban design.
  • 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_69b3454c772081908e20173e379e8ebe completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351e1bfa48190bb506d9ca1ed7b6a completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd4216d3f48190a614f61b2e10f794 completed March 20, 2026, 12:48 p.m.
Created at: March 12, 2026, 11:16 p.m.