Triple

T6559677
Position Surface form Disambiguated ID Type / Status
Subject Cecil Hart E152545 entity
Predicate fullName P16 FINISHED
Object Cecil Hart E152545 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: Cecil Hart | Statement: [Cecil Hart, fullName, Cecil Hart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cecil Hart
Context triple: [Cecil Hart, fullName, Cecil Hart]
  • A. Cecil Hart chosen
    Cecil Hart was a prominent early 20th-century Canadian ice hockey coach and manager, best known for his successful tenure with the Montreal Canadiens in the NHL.
  • B. Talbot Rothwell
    Talbot Rothwell was a British screenwriter best known for writing many of the popular "Carry On" comedy films in the 1960s and 1970s.
  • C. Cecil Harcourt-Smith
    Cecil Harcourt-Smith was a British archaeologist and museum director best known for his leadership roles at the British Museum and the Victoria and Albert Museum in the early 20th century.
  • D. Robert Hichens
    Robert Hichens was a British novelist and short story writer known for his psychological thrillers and society novels in the late 19th and early 20th centuries.
  • E. Cecil Kimber
    Cecil Kimber was a British automotive engineer and businessman best known for developing and leading the MG sports car brand in its early years.
  • 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_69c688058d6881908c19b309cc55dbfa completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae22442081909bd6e2ba0091c56b completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f784b8288190bf3778721fad4eb1 completed March 27, 2026, 9:32 p.m.
Created at: March 27, 2026, 1:52 p.m.