Triple

T20298115
Position Surface form Disambiguated ID Type / Status
Subject Nuns on the Run E505405 entity
Predicate hasCastMember P2308 FINISHED
Object Doris Hare 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: Doris Hare | Statement: [Nuns on the Run, hasCastMember, Doris Hare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doris Hare
Context triple: [Nuns on the Run, hasCastMember, Doris Hare]
  • A. Doris Hare chosen
    Doris Hare was a Welsh-born actress best known for her work on stage, radio, and British television, including the popular sitcom "On the Buses."
  • B. Marjorie Boulton
    Marjorie Boulton was a British writer, educator, and prominent Esperantist best known for her influential works of Esperanto poetry, prose, and literary criticism.
  • C. Marjorie Parry
    Marjorie Parry was the wife of renowned English conductor and cellist Sir John Barbirolli.
  • D. Margaret Denison
    Margaret Denison was the wife of Arthur Phillip, the British Royal Navy officer and first Governor of New South Wales who led the First Fleet to Australia.
  • E. Helen Craig
    Helen Craig was an American actress known for her work in mid-20th-century film, stage, and television.
  • 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_69e0b4b8ab648190906e18538c250148 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6770a2cec8190912d6b0dbabc78bc completed April 20, 2026, 6:57 p.m.
Created at: April 16, 2026, 11:16 a.m.