Triple

T18099580
Position Surface form Disambiguated ID Type / Status
Subject John McClane E433178 entity
Predicate basedOnWork P7125 FINISHED
Object Nothing Lasts Forever 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: Nothing Lasts Forever | Statement: [John McClane, basedOnWork, Nothing Lasts Forever]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nothing Lasts Forever
Context triple: [John McClane, basedOnWork, Nothing Lasts Forever]
  • A. Nothing Lasts Forever
    Nothing Lasts Forever is a medical thriller novel by Sidney Sheldon that follows the intertwined lives and careers of three female doctors facing personal and professional crises.
  • B. Nothing Lasts Forever chosen
    Nothing Lasts Forever is a 1979 action-thriller novel by Roderick Thorp that follows a lone protagonist battling terrorists in a high-rise building, later famously adapted into the film Die Hard.
  • C. Make It Last Forever
    Make It Last Forever is Keith Sweat’s influential 1987 debut R&B album, widely credited with helping launch the new jack swing era.
  • D. Never Forever
    "Never Forever" is a song featured on the release by the musical project Mutable Set.
  • E. See Forever
    See Forever is the promotional slogan used by One World Observatory to evoke its expansive, panoramic views over New York City and beyond.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddb521448190b97d2b2aa7e4d7e6 completed April 19, 2026, 1:50 p.m.
Created at: April 10, 2026, 10:27 a.m.