Triple

T21159444
Position Surface form Disambiguated ID Type / Status
Subject Becket Arts Center E521396 entity
Predicate municipality P852 FINISHED
Object Becket 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: Becket | Statement: [Becket Arts Center, municipality, Becket]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Becket
Context triple: [Becket Arts Center, municipality, Becket]
  • A. Becket chosen
    Becket is a small rural town in western Massachusetts known for its scenic Berkshire landscapes and outdoor recreation.
  • B. Becket
    Becket is a surname most notably associated with figures such as the American modernist architect Welton Becket.
  • C. Becket
    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.
  • D. Becket’s Crown
    Becket’s Crown is an alternative name for the Corona Chapel, a notable architectural feature of Canterbury Cathedral traditionally associated with the relics of Saint Thomas Becket.
  • E. Good King Henry
    Good King Henry is the popular epithet of Henry IV of France, the first Bourbon king renowned for ending the French Wars of Religion and issuing the Edict of Nantes to promote religious tolerance.
  • 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_69e0b50d1ea481909c07e63c3ead9316 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7252e9ef481908f4904c535f3da8b completed April 21, 2026, 7:20 a.m.
Created at: April 16, 2026, 2:59 p.m.