Triple

T7596290
Position Surface form Disambiguated ID Type / Status
Subject Vyvyan Holland E179864 entity
Predicate sibling P363 FINISHED
Object Cyril Holland E188805 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: Cyril Holland | Statement: [Vyvyan Holland, sibling, Cyril Holland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cyril Holland
Context triple: [Vyvyan Holland, sibling, Cyril Holland]
  • A. Cyril Holland chosen
    Cyril Holland was the elder son of Irish playwright and poet Oscar Wilde, who later served as a British Army officer under the name Cyril Holland.
  • B. Cyril Davies
    Cyril Davies was a pioneering British blues musician and harmonica player who helped spark the early 1960s British blues boom and influenced many later rock and blues artists.
  • C. Stephen Hague
    Stephen Hague is an American record producer and songwriter best known for his work on influential synth-pop and alternative rock albums from the 1980s and 1990s.
  • D. Sir Christopher Holland
    Sir Christopher Holland is a distinguished British judge and legal figure who studied at Jesus College, Oxford.
  • E. Marshall Neilan
    Marshall Neilan was an influential American film director, actor, and screenwriter of the silent era, known for his work with stars like Mary Pickford and for helping shape early Hollywood cinema.
  • 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_69c69f3487ec8190bf7acdf2dd91e6d6 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9d39e9481908bec42447c97e3f8 completed March 27, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86846192c81909154e6cf60b21157 completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:53 p.m.