Triple

T14522443
Position Surface form Disambiguated ID Type / Status
Subject The Porter Wagoner Show E340684 entity
Predicate hasNotableGuest P10756 FINISHED
Object George Jones E234337 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: George Jones | Statement: [The Porter Wagoner Show, hasNotableGuest, George Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Jones
Context triple: [The Porter Wagoner Show, hasNotableGuest, George Jones]
  • A. George Jones chosen
    George Jones was an American country music singer renowned for his emotive voice and classic hits like "He Stopped Loving Her Today."
  • B. George Jones
    George Jones was a 19th-century American journalist and publisher best known as a co-founder of The New York Times.
  • 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. 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.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de9a72cff08190878b4bed9b0b5eb5 completed April 14, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bbfc6048190897f064a5686ebf8 completed May 9, 2026, 1:19 a.m.
Created at: April 10, 2026, 1:22 a.m.