Triple

T7859776
Position Surface form Disambiguated ID Type / Status
Subject Felix Aylmer E182465 entity
Predicate notableWork P4 FINISHED
Object Becket (1964 film) E242033 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: Becket (1964 film) | Statement: [Felix Aylmer, notableWork, Becket (1964 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Becket (1964 film)
Context triple: [Felix Aylmer, notableWork, Becket (1964 film)]
  • A. Becket
    Becket is a surname most notably associated with figures such as the American modernist architect Welton Becket.
  • B. Becket chosen
    Becket is a 1964 historical drama film about the conflict between King Henry II and Archbishop Thomas Becket, renowned for its powerful performances and exploration of church–state tensions.
  • C. Becket
    Becket is a small rural town in western Massachusetts known for its scenic Berkshire landscapes and outdoor recreation.
  • D. A Man for All Seasons
    A Man for All Seasons is a 1966 historical drama film about Sir Thomas More’s moral conflict with King Henry VIII, acclaimed for its performances and exploration of conscience and integrity.
  • E. Saint Joan
    Saint Joan is a 1923 play by George Bernard Shaw that dramatizes the life, trial, and martyrdom of Joan of Arc, exploring themes of nationalism, religion, and individual conscience.
  • 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_69ca82887fd48190975896bf38c4596b completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb36bb6ca4819098bc00739e07cfc8 completed March 31, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b38d7e08190a3459d1e0c6f4c6d completed March 31, 2026, 5:27 a.m.
Created at: March 30, 2026, 4:53 p.m.