Triple

T6579116
Position Surface form Disambiguated ID Type / Status
Subject Carmelina E157245 entity
Predicate orchestrator P4735 FINISHED
Object Don Walker E287999 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: Don Walker | Statement: [Carmelina, orchestrator, Don Walker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Walker
Context triple: [Carmelina, orchestrator, Don Walker]
  • A. Don Walker chosen
    Don Walker was a prominent American orchestrator and arranger best known for his work on numerous Broadway musicals in the mid-20th century.
  • B. Bob Walker
    Bob Walker was an early 20th-century film actor known for appearing in silent-era productions such as the 1915 drama "The Warrens of Virginia."
  • C. Mark E. Walker
    Mark E. Walker is a United States federal judge who serves as the Chief Judge of the U.S. District Court for the Northern District of Florida.
  • D. Stanley Walker
    Stanley Walker was a prominent American newspaper editor and author best known for his influential leadership in New York journalism during the early 20th century.
  • E. Joseph Walker
    Joseph Walker was a prominent American cinematographer best known for his influential work during Hollywood’s Golden Age, particularly in collaboration with director Frank Capra.
  • 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_69c6882b3a108190b3a9eb343ae4162c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae8dad608190b4708368a7af6e5d completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7616bf79481909b21f5e295a4d48a completed March 28, 2026, 5:04 a.m.
Created at: March 27, 2026, 1:54 p.m.