Triple

T14521085
Position Surface form Disambiguated ID Type / Status
Subject Wonderstruck E340651 entity
Predicate producer P490 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: [Wonderstruck, producer, Pam Koffler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pam Koffler
Context triple: [Wonderstruck, 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 (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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de9a72cff08190878b4bed9b0b5eb5 completed April 14, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fea59f26188190b81af88940a9c95b completed May 9, 2026, 3:10 a.m.
Created at: April 10, 2026, 1:22 a.m.