Triple

T7721432
Position Surface form Disambiguated ID Type / Status
Subject Laura Lopes E175020 entity
Predicate sibling P363 FINISHED
Object Tom Parker Bowles E626909 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: Tom Parker Bowles | Statement: [Laura Lopes, sibling, Tom Parker Bowles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Parker Bowles
Context triple: [Laura Lopes, sibling, Tom Parker Bowles]
  • A. Tom Parker Bowles chosen
    Tom Parker Bowles is a British food writer and restaurant critic known for his cookbooks, journalism, and television appearances on culinary programs.
  • B. Andrew Parker Bowles
    Andrew Parker Bowles is a retired British Army officer and former husband of Queen Camilla, known for his long-standing connections to the British royal family.
  • C. Charlie Burchill
    Charlie Burchill is a Scottish guitarist and founding member of the rock band Simple Minds, known for his atmospheric and melodic playing style.
  • D. Kit Hesketh-Harvey
    Kit Hesketh-Harvey was a British musical performer, writer, and comedian best known as one half of the cabaret duo Kit and The Widow and for his work in musical theatre and radio.
  • E. Douglas Spencer
    Douglas Spencer was an American character actor known for his supporting roles in mid-20th-century films and early television, often appearing in crime dramas and science fiction movies.
  • 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_69c6995d541c81909eaa646b1a8369a9 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702f0366c8190a78f0b03f090fc2c completed March 27, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be2b1c5c8190b80029ab6b8b9a3f completed March 29, 2026, 5:52 a.m.
Created at: March 27, 2026, 4:05 p.m.