Triple

T10261007
Position Surface form Disambiguated ID Type / Status
Subject Kashif E240592 entity
Predicate notableWork P4 FINISHED
Object Love Changes E437607 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 | Statement: [Kashif, notableWork, Love Changes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Love Changes
Context triple: [Kashif, notableWork, Love Changes]
  • A. Love Changes chosen
    "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.
  • B. Love Changes Everything
    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.
  • 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. Things Change
    Things Change is a 1988 American comedy-drama film directed by David Mamet about a mistaken-identity scheme involving a humble shoeshiner and the mob.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d25bc7f88190b7e83243894d1aeb completed April 7, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7f1500c819089d569dbfce705b8 completed April 9, 2026, 12:50 a.m.
Created at: April 6, 2026, 11:32 a.m.