Triple

T15731159
Position Surface form Disambiguated ID Type / Status
Subject Charlie’s Angels: Full Throttle E381347 entity
Predicate producer P490 FINISHED
Object Nancy Juvonen E186395 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: Nancy Juvonen | Statement: [Charlie’s Angels: Full Throttle, producer, Nancy Juvonen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nancy Juvonen
Context triple: [Charlie’s Angels: Full Throttle, producer, 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. Linda Rogoff
    Linda Rogoff was an American musician and manager best known as the wife and longtime partner of actor George Segal.
  • C. 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."
  • D. 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.
  • E. Janet M. Lang
    Janet M. Lang is a scholar and co-author known for her collaborative work with James G. Blight on Cold War history and crisis decision-making.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb61cb881908b158609c1ccfa1e completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82fcb4e4819097bd0591bbcc3b71 completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:46 a.m.