Triple

T17926562
Position Surface form Disambiguated ID Type / Status
Subject OK E448209 entity
Predicate hasMusicBy P1952 FINISHED
Object James Newman 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: James Newman | Statement: [OK, hasMusicBy, James Newman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Newman
Context triple: [OK, hasMusicBy, James Newman]
  • A. James Newman chosen
    James Newman is a British singer-songwriter best known for co-writing several hit pop and dance tracks, including the UK’s Eurovision 2020 entry.
  • B. Christian Newman
    Christian Newman is a fictional character from the American soap opera "The Young and the Restless," connected to the Newman family storyline.
  • C. John Newman
    John Newman is an English singer and songwriter known for his soulful vocals on hit dance and pop tracks such as "Love Me Again" and high-profile collaborations with artists like Calvin Harris.
  • D. Tom Newman
    Tom Newman is a British record producer and musician best known for his early work with Virgin Records, including producing Mike Oldfield’s landmark album "Tubular Bells."
  • E. Christopher Young
    Christopher Young is an American film composer renowned for his atmospheric and often darkly dramatic scores across horror, thriller, and action movies.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a54f29a88190b035d8473765bde5 completed April 19, 2026, 9:50 a.m.
Created at: April 10, 2026, 10:20 a.m.