Triple

T16425298
Position Surface form Disambiguated ID Type / Status
Subject Ian Hay E398927 entity
Predicate pseudonym P39 FINISHED
Object Ian Hay E398927 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: Ian Hay | Statement: [Ian Hay, pseudonym, Ian Hay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ian Hay
Context triple: [Ian Hay, pseudonym, Ian Hay]
  • A. Ian Hay chosen
    Ian Hay was a Scottish novelist and playwright, born John Hay Beith, known for his popular humorous and military-themed works and for adapting stories for the stage and screen.
  • B. Hugh Fraser
    Hugh Fraser was a British Conservative politician and long-serving Member of Parliament who held several ministerial posts in the mid-20th century.
  • C. Hugh Fraser
    Hugh Fraser was a Scottish entrepreneur best known for building the House of Fraser department store group into a major British retail chain.
  • D. Clive Merrison
    Clive Merrison is a Welsh actor known for his extensive work in British film, television, and radio, including his acclaimed portrayal of Sherlock Holmes for BBC Radio.
  • E. Richard Chamberlain
    Richard Chamberlain is an American actor and singer best known for his leading roles in 1960s television dramas and 1980s miniseries such as "Dr. Kildare," "Shōgun," and "The Thorn Birds."
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328faa7448190a2606f1b37ea0a3d completed April 18, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00c291e2008190b41a989c5c6e2860 completed May 10, 2026, 5:38 p.m.
Created at: April 10, 2026, 5:09 a.m.