Triple

T22101203
Position Surface form Disambiguated ID Type / Status
Subject Went the Day Well? E546174 entity
Predicate castMember P1668 FINISHED
Object Harry Fowler NE NERFINISHED

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: Harry Fowler | Statement: [Went the Day Well?, castMember, Harry Fowler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Fowler
Context triple: [Went the Day Well?, castMember, Harry Fowler]
  • A. Harry Fowler chosen
    Harry Fowler was a British character actor known for his extensive work in film and television from the 1940s onward, often portraying cockney or working-class roles.
  • B. Henry Fowler
    Henry Fowler was a prominent British railway engineer best known for designing influential steam locomotives in the early 20th century.
  • C. Henry Watson Fowler
    Henry Watson Fowler was a British lexicographer and grammarian best known for his influential usage guide "A Dictionary of Modern English Usage."
  • D. John Fryer
    John Fryer is a British record producer and audio engineer best known for his influential work in alternative and gothic music, including projects like This Mortal Coil and numerous 4AD artists.
  • E. F. H. Fowler
    F. H. Fowler was a British architect known for designing the Opera Comique theatre in London.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1291501508190ad5689be5abb2ba6 completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.