Triple

T5642513
Position Surface form Disambiguated ID Type / Status
Subject Make You Feel My Love E124300 entity
Predicate performer P1363 FINISHED
Object Michael Bolton E266843 NE FINISHED

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: Michael Bolton | Statement: [Make You Feel My Love, performer, Michael Bolton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Bolton
Context triple: [Make You Feel My Love, performer, Michael Bolton]
  • A. Michael Bolton chosen
    Michael Bolton is an American singer and songwriter known for his powerful, soulful ballads and successful pop and adult contemporary hits, especially in the late 1980s and early 1990s.
  • B. Brian Aldridge
    Brian Aldridge is a fictional character from the long-running BBC Radio 4 soap opera "The Archers," known as a wealthy and sometimes controversial farmer and landowner in the series.
  • C. Mick Rogers
    Mick Rogers is an Australian former professional road cyclist known for his time-trialling strength and multiple world championship titles in the team time trial.
  • D. Tom Bell
    Tom Bell was an American football official best known for serving as the referee in Super Bowl III.
  • E. Tom Bell
    Tom Bell was a British character actor known for his intense, gritty performances in film and television from the 1960s onward.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c00824643c81909ffdb888a2d35189 completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022a6a22881908d16f4df564ed2a2 completed March 22, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d7c98008190b79528596eca4208 completed March 22, 2026, 8:13 p.m.
Created at: March 22, 2026, 3:41 p.m.