Triple

T19790261
Position Surface form Disambiguated ID Type / Status
Subject Sandra E475390 entity
Predicate notableWork P4 FINISHED
Object Everlasting 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: Everlasting Love | Statement: [Sandra, notableWork, Everlasting Love]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Everlasting Love
Context triple: [Sandra, notableWork, Everlasting Love]
  • A. Everlasting Love
    Everlasting Love is a popular song by British singer Rufus, recognized as one of his standout musical works.
  • B. Everlasting Love
    "Everlasting Love" is a popular song notably covered by British jazz-pop musician Jamie Cullum, known for its upbeat, soulful style and enduring appeal.
  • C. Everlasting Love chosen
    Everlasting Love is a popular soul-pop song, originally recorded in the 1960s and widely covered over the decades, known for its upbeat melody and theme of enduring romance.
  • D. Everlasting Love
    Everlasting Love is a 1989 synth-pop song by British musician Howard Jones, known for its upbeat melody and romantic lyrics.
  • E. Everlasting Love
    "Everlasting Love" is a classic pop song, widely known through Gloria Estefan’s hit cover version, that has become a staple of romantic and feel-good music playlists.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6538ae5108190b80eb7de6f445f02 completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:49 p.m.