Triple

T16331333
Position Surface form Disambiguated ID Type / Status
Subject Crashing Towers E396559 entity
Predicate featuresActor P15562 FINISHED
Object John Tyrrell E411818 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: John Tyrrell | Statement: [Crashing Towers, featuresActor, John Tyrrell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Tyrrell
Context triple: [Crashing Towers, featuresActor, John Tyrrell]
  • A. John Tyrrell chosen
    John Tyrrell was an American character actor known for his numerous supporting roles in 1930s and 1940s Hollywood films, often appearing in comedies and crime dramas.
  • B. Daniel Butterfield
    Daniel Butterfield was a Union Army general in the American Civil War, best known for composing the bugle call "Taps."
  • C. Edward Talbot
    Edward Talbot was an Anglican clergyman who became the inaugural Bishop of Southwark in the Church of England.
  • D. Charles Marsden
    Charles Marsden is a central, introspective writer and observer figure in Eugene O’Neill’s experimental play "Strange Interlude," serving as a reflective lens on the other characters’ lives and desires.
  • E. Geoffrey Massey
    Geoffrey Massey was a prominent Canadian architect known for his influential modernist designs, including major educational and civic projects in British Columbia.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4dfd9688190a749e48ebc055baf completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084a88dc08190a78973bc71f179d4 completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:07 a.m.