Triple

T18112802
Position Surface form Disambiguated ID Type / Status
Subject Then She Found Me E433521 entity
Predicate producer P490 FINISHED
Object Pam Koffler NE NERFINISHED

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: [Then She Found Me, producer, Pam Koffler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pam Koffler
Context triple: [Then She Found Me, producer, 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. Linda Voss
    Linda Voss is the courageous American legal secretary-turned-spy who infiltrates Nazi Germany in the World War II espionage drama "Shining Through."
  • C. Nancy Shevell
    Nancy Shevell is an American businesswoman and heiress best known for her long-term relationship and marriage to musician Paul McCartney.
  • D. Donna Ehlert
    Donna Ehlert is best known as the first wife of American comedic actor Harvey Korman.
  • E. Gail Helfrich
    Gail Helfrich is known as the wife of American football coach Mark Helfrich, who notably served as head coach of the University of Oregon Ducks.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd3fd9c81909bfe95927f7553e3 completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:28 a.m.