Triple

T3334325
Position Surface form Disambiguated ID Type / Status
Subject The Dresser E70103 entity
Predicate castMember P1668 FINISHED
Object Eileen Atkins E164657 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: Eileen Atkins | Statement: [The Dresser, castMember, Eileen Atkins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eileen Atkins
Context triple: [The Dresser, castMember, Eileen Atkins]
  • A. Eileen Atkins chosen
    Eileen Atkins is an acclaimed English actress and screenwriter known for her work on stage, film, and television, including co-creating the series "Upstairs, Downstairs" and "House of Eliott."
  • B. Sheila Hancock
    Sheila Hancock is a British actress and author renowned for her extensive work in theatre, television, and film, as well as her appearances as a television presenter and panelist.
  • C. Eleanor Bron
    Eleanor Bron is a British actress and writer known for her distinctive, often imperious screen presence in film, television, and theatre.
  • D. Lesley Garrett
    Lesley Garrett is an English soprano and media personality known for her operatic performances and popular classical crossover work.
  • E. Patricia Clarkson
    Patricia Clarkson is an American actress acclaimed for her versatile performances in film, television, and theater, often in complex supporting roles.
  • 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_69ad85a24f208190bcf83131bfed3521 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1961b888190bda38ba301ddc51d completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b432ee11988190843e4b81500b65ca completed March 13, 2026, 3:53 p.m.
Created at: March 8, 2026, 3:12 p.m.