Triple

T20806756
Position Surface form Disambiguated ID Type / Status
Subject Take All My Loves: 9 Shakespeare Sonnets E512180 entity
Predicate featuresArtist P1952 FINISHED
Object Peter Eyre 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: Peter Eyre | Statement: [Take All My Loves: 9 Shakespeare Sonnets, featuresArtist, Peter Eyre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Eyre
Context triple: [Take All My Loves: 9 Shakespeare Sonnets, featuresArtist, Peter Eyre]
  • A. Peter Eyre chosen
    Peter Eyre is a British actor known for his work in film, television, and theatre, often appearing in period dramas and literary adaptations.
  • B. Thomas Eyre
    Thomas Eyre is a relatively obscure historical figure whose specific identity and achievements are not clearly distinguished in common reference sources.
  • C. Eddie Wright
    Eddie Wright is known as one of the children of Hall of Fame college basketball coach Jay Wright.
  • D. Oliver Parker
    Oliver Parker is a British filmmaker and screenwriter known for directing literary adaptations such as the 1995 film version of Shakespeare’s "Othello."
  • E. Martin Campbell
    Martin Campbell is a New Zealand film director best known for revitalizing the James Bond franchise with the hit films GoldenEye and Casino Royale.
  • 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_69e0b4cc69f481908e98751e697b9df4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2cfdee481908e42a1a8940ea40c completed April 21, 2026, 12:20 a.m.
Created at: April 16, 2026, 12:40 p.m.