Triple

T10467044
Position Surface form Disambiguated ID Type / Status
Subject Ben Is Back E246824 entity
Predicate producer P490 FINISHED
Object Nina Jacobson E324425 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: Nina Jacobson | Statement: [Ben Is Back, producer, Nina Jacobson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nina Jacobson
Context triple: [Ben Is Back, producer, Nina Jacobson]
  • A. Nina Jacobson chosen
    Nina Jacobson is an American film and television producer best known as the founder of Color Force and for producing major franchises such as "The Hunger Games."
  • B. Amy Pascal
    Amy Pascal is an American film producer and former Sony Pictures executive known for overseeing and producing numerous major Hollywood films.
  • C. Megan Ellison
    Megan Ellison is an American film producer and founder of Annapurna Pictures, known for backing acclaimed independent and auteur-driven films such as "Her," "Zero Dark Thirty," and "American Hustle."
  • D. Jane Kurson
    Jane Kurson is a film editor best known for her work on the 1988 fantasy-comedy film "Beetlejuice."
  • E. Amanda Silver
    Amanda Silver is an American screenwriter and producer best known for co-writing major blockbuster films such as Jurassic World and the Avatar sequels.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5092e3230819098ab444f73c9bd40 completed April 7, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89fe6129881908c658ff977e68135 completed April 10, 2026, 6:59 a.m.
Created at: April 6, 2026, 12:19 p.m.