Triple

T17839891
Position Surface form Disambiguated ID Type / Status
Subject Charley Pride E445494 entity
Predicate notableWork P4 FINISHED
Object Mountain of Love 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: Mountain of Love | Statement: [Charley Pride, notableWork, Mountain of Love]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mountain of Love
Context triple: [Charley Pride, notableWork, Mountain of Love]
  • A. Mountain of Love chosen
    "Mountain of Love" is a popular song best known for Johnny Rivers' hit 1964 rock and roll cover version.
  • B. Love on the Rocks
    Love on the Rocks is a 1980 pop ballad by Neil Diamond, best known for its melancholic reflection on a failing relationship and its prominent feature in the film The Jazz Singer.
  • C. Point of the Mountain
    Point of the Mountain is a prominent geographic feature and recreational area in northern Utah, known especially for its ideal conditions for paragliding and hang gliding.
  • D. On the Mountain
    "On the Mountain" is a dramatic work associated with acclaimed American actress Amy Ryan, known for her nuanced performances in film, television, and theater.
  • E. Love in the Wilderness
    Love in the Wilderness is a novel by British author Gertrude Page, known for its romantic and colonial-era themes set in Southern Africa.
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48d2a570c81909787296bde7e795c completed April 19, 2026, 8:07 a.m.
Created at: April 10, 2026, 10:16 a.m.