Triple

T13606144
Position Surface form Disambiguated ID Type / Status
Subject Halston E325066 entity
Predicate composer P1361 FINISHED
Object Nathan Barr E343717 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: Nathan Barr | Statement: [Halston, composer, Nathan Barr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nathan Barr
Context triple: [Halston, composer, Nathan Barr]
  • A. Nathan Barr chosen
    Nathan Barr is an American film and television composer known for his atmospheric scores on projects ranging from horror films to acclaimed series like True Blood and The Americans.
  • B. Douglas Roberts
    Douglas Roberts is known primarily as one of the sons of American cable television pioneer and Comcast co-founder Ralph J. Roberts.
  • C. Stephen Hunter
    Stephen Hunter is an American novelist and Pulitzer Prize–winning film critic best known for his Bob Lee Swagger sniper thriller series.
  • D. Louis Davenport
    Louis Davenport was a prominent early 20th-century hotelier and businessman best known for founding and developing the luxury Davenport Hotel in Spokane, Washington.
  • E. Greg Iles
    Greg Iles is an American novelist best known for his suspense and crime thrillers, many set in the American South.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07e442c819086a8cbb967c03ad3 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f96280881908bab3af5c80f6d55 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:50 p.m.