Triple

T10006496
Position Surface form Disambiguated ID Type / Status
Subject Never Forever E198260 entity
Predicate hasTitle P38 FINISHED
Object Never Forever E198260 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: Never Forever | Statement: [Never Forever, hasTitle, Never Forever]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Never Forever
Context triple: [Never Forever, hasTitle, Never Forever]
  • A. Never Forever chosen
    "Never Forever" is a song featured on the release by the musical project Mutable Set.
  • B. Last Forever
    "Last Forever" is the two-part series finale of the American sitcom How I Met Your Mother, known for its controversial conclusion to the long-running story.
  • C. Now and Forever
    "Now and Forever" is a romantic ballad by Carole King, best known as one of her later signature songs featured on her live album *The Living Room Tour*.
  • D. Finally Forever
    "Finally Forever" is a song featured on the album "Carry On," likely contributing to its overall rock and melodic style.
  • E. Never for Ever
    Never for Ever is a 1980 art-pop album by English singer-songwriter Kate Bush, noted for its experimental production, theatrical storytelling, and being her first UK number-one record.
  • 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_69ca830fcca48190bbbd9b20c233835f completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd16afb481909a5d5893e024683f completed April 2, 2026, 1:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a5d7e088190b5b1a852bfdc9073 completed April 5, 2026, 1:57 p.m.
Created at: March 30, 2026, 8:51 p.m.