Triple

T3237223
Position Surface form Disambiguated ID Type / Status
Subject The Tale E67882 entity
Predicate character P662 FINISHED
Object Jennifer Fox (adult) E340336 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 (adult) | Statement: [The Tale, character, Jennifer Fox (adult)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jennifer Fox (adult)
Context triple: [The Tale, character, Jennifer Fox (adult)]
  • A. Jennifer Fox
    Jennifer Fox is an American film and television producer known for her work on acclaimed projects such as the geopolitical thriller "Syriana."
  • B. Jennifer Fox chosen
    Jennifer Fox is an American filmmaker and producer known for her autobiographical drama film "The Tale" and her work in documentary cinema.
  • C. Jennifer Fox (13 years old)
    Jennifer Fox (13 years old) is the adolescent protagonist in "The Tale," whose memories and experiences are central to the film’s exploration of childhood, trauma, and the reliability of personal narrative.
  • D. Ari Wegner
    Ari Wegner is an acclaimed Australian cinematographer known for her visually striking work on films such as "The Power of the Dog."
  • E. Hannah Fidell
    Hannah Fidell is an American filmmaker and television writer-director known for creating and directing intimate, character-driven dramas such as the miniseries "A Teacher."
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaef29bf48190a9aa3a39f0138428 completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3be35388190bbd1a296d7b1b3fa completed March 12, 2026, 5:11 p.m.
Created at: March 8, 2026, 3:08 p.m.