Triple

T1864721
Position Surface form Disambiguated ID Type / Status
Subject Never Say Never E34893 entity
Predicate hasPart P35 FINISHED
Object Never Say Never E34893 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 Say Never | Statement: [Never Say Never, hasPart, Never Say Never]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Never Say Never
Context triple: [Never Say Never, hasPart, Never Say Never]
  • A. Never Say Never (album) chosen
    Never Say Never is the multi-platinum 1998 R&B album by Brandy that features hits like "The Boy Is Mine" and solidified her status as a leading pop and R&B artist.
  • B. Now Or Never
    "Now Or Never" is a track by American rapper Cochise, known for his energetic delivery and playful, melodic trap style.
  • C. Never Forever
    "Never Forever" is a song featured on the release by the musical project Mutable Set.
  • D. Never Really Over
    "Never Really Over" is a 2019 electropop single by American singer Katy Perry that explores the lingering emotions of a past relationship.
  • E. Forever and Ever
    "Forever and Ever" is a popular 1973 pop ballad by Greek singer Demis Roussos that became one of his signature international hits.
  • 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_69a88600b2f88190bc09303e68ab517e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb0a0b4b881908b07c07db624701d completed March 7, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1fc7f4988190931e58d2f95b9049 completed March 9, 2026, 1:18 a.m.
Created at: March 4, 2026, 7:34 p.m.