Triple

T8800372
Position Surface form Disambiguated ID Type / Status
Subject Freddie Andrews E209390 entity
Predicate spouse P13 FINISHED
Object Holly Branson E39801 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: Holly Branson | Statement: [Freddie Andrews, spouse, Holly Branson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holly Branson
Context triple: [Freddie Andrews, spouse, Holly Branson]
  • A. Holly Branson chosen
    Holly Branson is a British businesswoman and philanthropist who plays a leading role in the Virgin Group’s social and charitable initiatives.
  • B. Clare Sarah Branson
    Clare Sarah Branson is the daughter of British entrepreneur Richard Branson and his wife Joan Templeman.
  • C. Catherine Branson
    Catherine Branson is an Australian lawyer and former Federal Court judge who also served as President of the Australian Human Rights Commission.
  • D. Eve Branson
    Eve Branson was a British philanthropist, former ballet dancer and airline hostess, best known as the mother of entrepreneur Richard Branson and for her extensive charitable work.
  • E. Pippa Lee
    Pippa Lee is the complex, introspective protagonist of Rebecca Miller’s novel and film, whose seemingly tranquil life unravels as she confronts her unconventional past and midlife crisis.
  • 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_69ca836320e48190b5cf585b90a322c4 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fb8aab88190befed16301e08efc completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f6fdd688190bf40bbde0be991e1 completed April 3, 2026, 7:42 a.m.
Created at: March 30, 2026, 6:44 p.m.