Triple

T7056083
Position Surface form Disambiguated ID Type / Status
Subject Charles Villiers Stanford E164093 entity
Predicate taught P335 FINISHED
Object John Ireland E634268 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 Ireland | Statement: [Charles Villiers Stanford, taught, John Ireland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Ireland
Context triple: [Charles Villiers Stanford, taught, John Ireland]
  • A. John Ireland
    John Ireland was a prominent Irish-born American actor known for his tough-guy roles in mid-20th-century Hollywood films such as "Red River" and "All the King's Men."
  • B. John Ireland chosen
    John Ireland was an English composer of the late Romantic and early modern periods, best known for his piano miniatures, chamber music, and evocative song settings.
  • C. Reeve Carney
    Reeve Carney is an American actor and musician best known for his roles in the TV series "Penny Dreadful" and the Broadway musical "Hadestown."
  • D. Myles Connolly
    Myles Connolly was an American author, Hollywood screenwriter, and devout Catholic layman best known for his influential novel "Mr. Blue" and his work on numerous classic films.
  • E. Nicholas Woodeson
    Nicholas Woodeson is a British character actor known for his work in film, television, and theatre, including roles in productions such as "Skyfall," "Rome," and "The Death of Stalin."
  • 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_69c68861678881909961ddf4d779f750 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e269050c81908c186609a8a7bcf9 completed March 27, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79c857ca08190a964861cb7aff86a completed March 28, 2026, 9:16 a.m.
Created at: March 27, 2026, 2:38 p.m.