Triple

T13236187
Position Surface form Disambiguated ID Type / Status
Subject Written on the Wind E315151 entity
Predicate castMember P1668 FINISHED
Object Edward Platt E300527 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: Edward Platt | Statement: [Written on the Wind, castMember, Edward Platt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edward Platt
Context triple: [Written on the Wind, castMember, Edward Platt]
  • A. Edward Platt chosen
    Edward Platt was an American character actor best known for playing the Chief in the television series "Get Smart" and for roles in several classic mid-20th-century films.
  • B. Edward Talbot
    Edward Talbot was an Anglican clergyman who became the inaugural Bishop of Southwark in the Church of England.
  • C. Edward Blount
    Edward Blount was a prominent early 17th-century London stationer and publisher best known for co-publishing Shakespeare’s First Folio.
  • D. Richard Talbot
    Richard Talbot was a 17th-century Irish soldier and statesman who became a leading Jacobite figure and Lord Deputy of Ireland under King James II.
  • E. William Pleeth
    William Pleeth was a renowned British cellist and influential teacher best known for mentoring the celebrated cellist Jacqueline du Pré.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d56da008190af55da3a9e7ffd4d completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7460e94a08190a518f466f55db482 completed May 3, 2026, 12:56 p.m.
Created at: April 9, 2026, 9:22 p.m.