Triple

T1378315
Position Surface form Disambiguated ID Type / Status
Subject Camilla, Queen Consort E29275 entity
Predicate child P120 FINISHED
Object Tom Parker Bowles E158832 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: [Camilla, Queen Consort, child, Tom Parker Bowles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Parker Bowles
Context triple: [Camilla, Queen Consort, child, Tom Parker Bowles]
  • A. Andrew Parker Bowles chosen
    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.
  • B. Julian Clary
    Julian Clary is an English comedian, actor, novelist, and television personality known for his camp style and innuendo-laden humor.
  • C. Richard Baker
    Richard Baker is an American businessman and real estate investor best known as the governor and executive chairman of Hudson’s Bay Company.
  • D. Thomas Basset
    Thomas Basset was a 17th-century London bookseller and publisher known for issuing significant works of early modern philosophy and theology.
  • E. Earl Spencer
    Earl Spencer is a British peerage title historically held by members of the prominent Spencer family, an aristocratic lineage that includes figures such as Princess Diana.
  • 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_69a498d883a48190bfdca525296ef7ee completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c3173548819082aec7c1af9c577c completed March 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69acde1c7e5c8190a6b999f2d5dce088 completed March 8, 2026, 2:25 a.m.
Created at: March 1, 2026, 7:59 p.m.