Triple

T21326499
Position Surface form Disambiguated ID Type / Status
Subject Harlan Howard E525770 entity
Predicate wroteSongFor P15505 FINISHED
Object George Jones 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: George Jones | Statement: [Harlan Howard, wroteSongFor, George Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Jones
Context triple: [Harlan Howard, wroteSongFor, 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. George E. Jones
    George E. Jones was the husband of prominent American labor and community organizer Mary Harris "Mother" Jones.
  • 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7ab49aa48819083b3793657903216 completed April 21, 2026, 4:52 p.m.
Created at: April 16, 2026, 4:41 p.m.