Triple

T18709627
Position Surface form Disambiguated ID Type / Status
Subject Jackie Price E457464 entity
Predicate workProducedBy P107257 FINISHED
Object Jennifer Gates 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: Jennifer Gates | Statement: [Jackie Price, workProducedBy, Jennifer Gates]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jennifer Gates
Context triple: [Jackie Price, workProducedBy, Jennifer Gates]
  • A. Jennifer Gates chosen
    Jennifer Gates is a film producer known for her work on the psychological thriller "The Jacket."
  • B. Jennifer Katharine Gates
    Jennifer Katharine Gates is an American equestrian and medical doctor best known as the eldest daughter of philanthropists Bill and Melinda Gates.
  • C. Mimi Gardner Gates
    Mimi Gardner Gates is an American art historian and museum director best known for her long tenure as director of the Seattle Art Museum and her scholarship on Asian art.
  • D. Melinda French Gates
    Melinda French Gates is an American philanthropist and former Microsoft executive best known for co-founding the Bill & Melinda Gates Foundation and her global work on health, education, and gender equality.
  • E. Mollie Gates
    Mollie Gates is an American costume designer known for her work in film and television and for her former marriage to actor Thomas Middleditch.
  • 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5671a3c8c81909466bf5d81477a37 completed April 19, 2026, 11:36 p.m.
Created at: April 10, 2026, 11:50 a.m.