Triple

T17062146
Position Surface form Disambiguated ID Type / Status
Subject This Ole House E413986 entity
Predicate lyricist P1360 FINISHED
Object Stuart Hamblen E1247670 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: Stuart Hamblen | Statement: [This Ole House, lyricist, Stuart Hamblen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stuart Hamblen
Context triple: [This Ole House, lyricist, Stuart Hamblen]
  • A. Stuart Hamblen chosen
    Stuart Hamblen was an American country and gospel singer-songwriter and radio personality known as one of the first singing cowboys in Hollywood and for his influential Christian-themed songs.
  • B. Hank Snow
    Hank Snow was a Canadian country music singer and guitarist renowned for his distinctive voice and hit songs like "I'm Moving On" and "I've Been Everywhere."
  • C. Don Gibson
    Don Gibson was an influential American country music singer-songwriter known for classics like "Oh Lonesome Me" and "I Can't Stop Loving You."
  • D. Lou Frizzell
    Lou Frizzell was an American character actor and voice actor known for his supporting roles in film and television during the mid-20th century.
  • E. Don Gibbs
    Don Gibbs is an architect known for designing the Walter Pyramid, a prominent multi-purpose arena at California State University, Long Beach.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3db7dea7481909e3e0bc836d27336 completed April 18, 2026, 7:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ed7f6fc81908d27a6581fcfa265 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:34 a.m.