Triple

T13744105
Position Surface form Disambiguated ID Type / Status
Subject Don Black E330169 entity
Predicate notableWork P4 FINISHED
Object Love Changes Everything E795045 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: Love Changes Everything | Statement: [Don Black, notableWork, Love Changes Everything]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Love Changes Everything
Context triple: [Don Black, notableWork, Love Changes Everything]
  • A. Love Changes Everything chosen
    Love Changes Everything is a popular show tune from the musical "Aspects of Love," widely associated with and made famous by British singer and actor Michael Ball.
  • B. Love Changes
    "Love Changes" is a song best known as a 1987 R&B hit by Kashif and Meli'sa Morgan, noted for its smooth production and romantic theme.
  • C. Everything Changes
    "Everything Changes" is a hit pop song by British boy band Take That, released in 1994 as the title track from their second studio album.
  • D. Everything Changes
    "Everything Changes" is a 2011 studio album by British musician Julian Lennon that marked his return to recording after a long hiatus.
  • E. It Changes
    "It Changes" is a musical number from the animated film "Snoopy, Come Home," reflecting the emotional shifts and transitions experienced by the characters.
  • 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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de020855ec8190a60fa1cb761f2e68 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a8501890819081152bc2e9c06836 completed May 3, 2026, 7:56 p.m.
Created at: April 9, 2026, 10:08 p.m.