Triple

T1805939
Position Surface form Disambiguated ID Type / Status
Subject The Informant! E40218 entity
Predicate producer P490 FINISHED
Object Jennifer Fox E197799 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: Jennifer Fox | Statement: [The Informant!, producer, Jennifer Fox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jennifer Fox
Context triple: [The Informant!, producer, Jennifer Fox]
  • A. Jennifer Fox chosen
    Jennifer Fox is an American film and television producer known for her work on acclaimed projects such as the geopolitical thriller "Syriana."
  • B. Laura Poitras
    Laura Poitras is an American documentary filmmaker and journalist best known for her work on U.S. surveillance and national security, including the Oscar-winning film "Citizenfour" about Edward Snowden.
  • C. Rory Kennedy
    Rory Kennedy is an American documentary filmmaker known for her socially conscious films and as the youngest child of Senator Robert F. Kennedy.
  • D. Irin Carmon
    Irin Carmon is a journalist and author best known for co-writing the biography "Notorious RBG" about Supreme Court Justice Ruth Bader Ginsburg.
  • E. Angourie Rice
    Angourie Rice is an Australian actress known for her breakout role in "The Nice Guys" and for appearing in films such as "Spider-Man: Homecoming" and "Spider-Man: Far From Home."
  • 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_69a88643a3388190a612f2ebe1fb29e7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa659798b88190bd3070349ce6bebb completed March 6, 2026, 5:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5df20948190943a60c209270b62 completed March 8, 2026, 5:46 p.m.
Created at: March 4, 2026, 7:32 p.m.