Triple

T20819086
Position Surface form Disambiguated ID Type / Status
Subject Flower Films E512523 entity
Predicate keyPerson P256 FINISHED
Object Nancy Juvonen 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: Nancy Juvonen | Statement: [Flower Films, keyPerson, Nancy Juvonen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nancy Juvonen
Context triple: [Flower Films, keyPerson, Nancy Juvonen]
  • A. Nancy Juvonen chosen
    Nancy Juvonen is an American film producer and co-founder of Flower Films, known for her longtime collaboration with Drew Barrymore and marriage to television host Jimmy Fallon.
  • B. Elaine Jacobs
    Elaine Jacobs, better known by her stage name Elaine Barrie, was an American actress most noted for her marriage to the much older film star John Barrymore.
  • C. Linda Rogoff
    Linda Rogoff was an American musician and manager best known as the wife and longtime partner of actor George Segal.
  • D. Lorrie Baranek
    Lorrie Baranek is a television producer best known for her executive production work on the current affairs series "The Problem with Jon Stewart."
  • E. Jane H. Hill
    Jane H. Hill was an influential American linguistic anthropologist known for her extensive work on Indigenous languages of the Americas and their sociocultural contexts.
  • 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_69e0b4ce39108190a6e8e5df4f1c8dc5 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2f5b1e08190a9c26f76bd544b68 completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:41 p.m.