Triple

T6795776
Position Surface form Disambiguated ID Type / Status
Subject Outlander E156049 entity
Predicate executiveProducer P7225 FINISHED
Object Diana Gabaldon E619795 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: Diana Gabaldon | Statement: [Outlander, executiveProducer, Diana Gabaldon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diana Gabaldon
Context triple: [Outlander, executiveProducer, Diana Gabaldon]
  • A. Diana Gabaldon chosen
    Diana Gabaldon is an American author best known for writing the historical time-travel romance series "Outlander," which inspired the popular television adaptation.
  • B. Christianna Brand
    Christianna Brand was a British crime and children's author best known for her "Nurse Matilda" stories, which inspired the film "Nanny McPhee."
  • C. Margot Winspear
    Margot Winspear was a philanthropist known for her support of the arts, particularly through major contributions to cultural institutions in Dallas, Texas.
  • D. Elizabeth Anne McDonald
    Elizabeth Anne McDonald was the first wife of entertainer Dean Martin, with whom she had four children before their divorce in the late 1940s.
  • E. Francine Rivers
    Francine Rivers is a bestselling American author known for her inspirational Christian fiction novels, particularly "Redeeming Love."
  • 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_69c6881844448190a65822d9b39d7f88 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2c6e7dc8190b1f33372d047baba completed March 27, 2026, 6:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723d211508190a31747b2d67ed42e completed March 28, 2026, 12:41 a.m.
Created at: March 27, 2026, 2:15 p.m.