Triple

T21326697
Position Surface form Disambiguated ID Type / Status
Subject Wendell Burton E525776 entity
Predicate employer P7 FINISHED
Object K-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: K-LOVE | Statement: [Wendell Burton, employer, K-LOVE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: K-LOVE
Context triple: [Wendell Burton, employer, K-LOVE]
  • A. K-Love chosen
    K-Love is a nationwide contemporary Christian music radio network in the United States known for its worship-focused programming and listener-supported, commercial-free format.
  • B. Moody Radio
    Moody Radio is a Christian radio network in the United States known for its Bible teaching, preaching, and faith-based programming.
  • C. Gospel Music Channel
    Gospel Music Channel is a television network dedicated to broadcasting gospel and Christian-themed music programming and related inspirational content.
  • D. Kiss FM
    Kiss FM is a popular radio station brand known for broadcasting contemporary hit music and dance tracks, often featuring prominent DJs and club culture programming.
  • E. KLOS
    KLOS is a Los Angeles-based FM radio station best known for its long-running classic rock format and influential presence in Southern California broadcasting.
  • 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_69e7ab4a796081908148ec9106362d3d completed April 21, 2026, 4:52 p.m.
Created at: April 16, 2026, 4:41 p.m.