Triple

T20419541
Position Surface form Disambiguated ID Type / Status
Subject At the Crescendo E500809 entity
Predicate hasPerformer P5936 FINISHED
Object Arvell Shaw 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: Arvell Shaw | Statement: [At the Crescendo, hasPerformer, Arvell Shaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arvell Shaw
Context triple: [At the Crescendo, hasPerformer, Arvell Shaw]
  • A. Arvell Shaw chosen
    Arvell Shaw was an American jazz double bassist best known for his long association and recordings with Louis Armstrong.
  • B. Arthur Shaw
    Arthur Shaw is the wealthy, duplicitous financier and primary antagonist targeted for revenge in the comedy heist film "Tower Heist."
  • C. Darwin Shaw
    Darwin Shaw is a British actor known for his roles in film and television, including a prominent appearance in the 2013 miniseries "The Bible."
  • D. Frank Shaw
    Frank Shaw is an individual known primarily as the child of Mrs. Shaw, though further widely recognized biographical details are not specified.
  • E. Gideon Shryock
    Gideon Shryock was a prominent 19th-century American architect known for introducing the Greek Revival style to public buildings in Kentucky.
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67ba39f7081909358f1103a0f241c completed April 20, 2026, 7:16 p.m.
Created at: April 16, 2026, 11:30 a.m.