Triple

T16894483
Position Surface form Disambiguated ID Type / Status
Subject Avrion Mitchison E424261 entity
Predicate mother P120 FINISHED
Object Naomi Haldane E459367 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: Naomi Haldane | Statement: [Avrion Mitchison, mother, Naomi Haldane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naomi Haldane
Context triple: [Avrion Mitchison, mother, Naomi Haldane]
  • A. Naomi Lowde-Priestley
    Naomi Lowde-Priestley is a British-born makeup artist and businesswoman known for her work in the entertainment industry and her marriage to actor Jason Priestley.
  • B. Naomi Mary Margaret Haldane chosen
    Naomi Mary Margaret Haldane, better known as Naomi Mitchison, was a prolific 20th-century Scottish novelist, feminist, and social activist renowned for her historical and speculative fiction.
  • C. Jennifer Mordaunt
    Jennifer Mordaunt is a relative of British Conservative politician Penny Mordaunt.
  • D. Naomi Geraghty
    Naomi Geraghty is a film editor known for her work on feature films such as the comedy-drama "The Upside."
  • E. Natasha Rothwell
    Natasha Rothwell is an American actress, writer, and comedian known for her roles in projects like Insecure, The White Lotus, and various film and television comedies.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8d6bfc88190b6b47b89c1135871 completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7aa83bc8190832d2f3903ce0081 completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:29 a.m.