Triple

T22101183
Position Surface form Disambiguated ID Type / Status
Subject Went the Day Well? E546174 entity
Predicate screenwriter P2831 FINISHED
Object Diana Morgan 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: Diana Morgan | Statement: [Went the Day Well?, screenwriter, Diana Morgan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diana Morgan
Context triple: [Went the Day Well?, screenwriter, Diana Morgan]
  • A. Diana Morgan chosen
    Diana Morgan was a British screenwriter and playwright known for her work in mid-20th-century film and theatre.
  • B. Daphne Scott
    Daphne Scott is the daughter of British writer and PEN International co-founder Catherine Amy Dawson Scott.
  • C. Una Morgan
    Una Morgan is a Jamaican singer and keyboardist best known as a member of the Grammy-winning reggae band Morgan Heritage.
  • D. Diana Napper
    Diana Napper is a film producer best known for her work on the adaptation of "The Jane Austen Book Club."
  • E. Diana Graves
    Diana Graves is known as the wife of English character actor Michael Gough, famed for his role as Alfred in the Batman film series.
  • 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.