Triple

T13511093
Position Surface form Disambiguated ID Type / Status
Subject Margot Asquith E321139 entity
Predicate relative P37 FINISHED
Object Charles Tennant E380012 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: Charles Tennant | Statement: [Margot Asquith, relative, Charles Tennant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Tennant
Context triple: [Margot Asquith, relative, Charles Tennant]
  • A. Charles Tennant chosen
    Charles Tennant was a Scottish industrialist and chemist best known for founding a major chemical manufacturing business and pioneering the use of bleaching powder in textile production.
  • B. Frank Campion
    Frank Campion is a Canadian municipal politician who serves as the mayor of Welland, Ontario.
  • C. Hugo Davenport
    Hugo Davenport is the son of English actor Nigel Davenport, known primarily in relation to his father's prominence in British film and television.
  • D. Inspector Lewis Erskine
    Inspector Lewis Erskine is the dedicated and methodical FBI agent protagonist of the classic American television crime drama "The F.B.I."
  • E. Nevil Macready
    Nevil Macready was a British Army general best known for serving as Commander-in-Chief in Ireland during the Irish War of Independence.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf86a6208190be8c18f7a0158f23 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75490291c8190b5985d8c90ef1af6 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:43 p.m.