Triple

T21326495
Position Surface form Disambiguated ID Type / Status
Subject Harlan Howard E525770 entity
Predicate wroteSongFor P15505 FINISHED
Object Kitty Wells 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: Kitty Wells | Statement: [Harlan Howard, wroteSongFor, Kitty Wells]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kitty Wells
Context triple: [Harlan Howard, wroteSongFor, Kitty Wells]
  • A. Kitty Wells chosen
    Kitty Wells was an American country music singer known as the "Queen of Country Music" and for pioneering the role of women in the genre.
  • B. Dottie West
    Dottie West was an American country music singer and songwriter known for her influential solo career and popular duets, particularly in the 1970s and 1980s.
  • C. Ruth Buggs
    Ruth Buggs is a supporting character in the science-fiction comedy film "Paul," known for her strict religious upbringing and subsequent transformation after encountering the alien protagonist.
  • D. Dorothy Moore
    Dorothy Moore is an American soul and R&B singer best known for her emotive vocal style and 1970s hits such as "Misty Blue."
  • E. Koko Taylor
    Koko Taylor was a powerhouse American blues singer, celebrated as the "Queen of the Blues" for her raw, gritty vocals and influential Chicago blues recordings.
  • 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.