Triple

T17010227
Position Surface form Disambiguated ID Type / Status
Subject Pamela Brown E412678 entity
Predicate appearedIn P795 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: [Pamela Brown, appearedIn, Becket (1964 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Becket (1964 film)
Context triple: [Pamela Brown, appearedIn, Becket (1964 film)]
  • A. 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.
  • B. Becket
    Becket is a surname most notably associated with figures such as the American modernist architect Welton Becket.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d47a8444819081f1262eb7dbda40 completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b46e89c81908271eb22b535c558 completed May 10, 2026, 11:56 p.m.
Created at: April 10, 2026, 5:33 a.m.