Triple

T11667367
Position Surface form Disambiguated ID Type / Status
Subject Dust E277284 entity
Predicate performedBy P1363 FINISHED
Object Gene Autry E197628 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: Gene Autry | Statement: [Dust, performedBy, Gene Autry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gene Autry
Context triple: [Dust, performedBy, Gene Autry]
  • A. Gene Autry chosen
    Gene Autry was an American singer, actor, and cowboy entertainer known as "The Singing Cowboy," famous for his country and Christmas recordings and his roles in Western films and radio.
  • B. Alan Dinehart
    Alan Dinehart was an American character actor of the early 20th century known for his supporting roles in numerous Hollywood films.
  • C. Johnny Darrell
    Johnny Darrell was an American country music singer best known for his influential late-1960s recordings of socially conscious and story-driven songs.
  • D. Tex Ritter
    Tex Ritter was a popular American country music singer and actor known for his Western films and classic cowboy songs in the mid-20th century.
  • E. Eddy Arnold
    Eddy Arnold was an influential American country music singer and songwriter whose smooth style and crossover hits helped popularize the Nashville sound in the mid-20th century.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a43f438081909da476294a057c38 completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef13b36ae4819096e6dfca23a69250 completed April 27, 2026, 7:43 a.m.
Created at: April 8, 2026, 9:39 p.m.