Triple

T20195211
Position Surface form Disambiguated ID Type / Status
Subject Blueberry Hill E493065 entity
Predicate recordedBy P1165 FINISHED
Object Gene Autry 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: Gene Autry | Statement: [Blueberry Hill, recordedBy, Gene Autry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gene Autry
Context triple: [Blueberry Hill, recordedBy, 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 (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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ad8b3cc8190aa9c9c79c552002a completed April 20, 2026, 6:05 p.m.
Created at: April 11, 2026, 11:37 p.m.