Triple

T11171394
Position Surface form Disambiguated ID Type / Status
Subject Hans Gruber E264280 entity
Predicate basedOnWork P7125 FINISHED
Object Nothing Lasts Forever E433176 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: Nothing Lasts Forever | Statement: [Hans Gruber, basedOnWork, Nothing Lasts Forever]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nothing Lasts Forever
Context triple: [Hans Gruber, basedOnWork, Nothing Lasts Forever]
  • A. 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.
  • B. 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.
  • 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 (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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e89660208190b1d9e91529f5d246 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e463b155a08190b361b38a39d25b1f completed April 19, 2026, 5:10 a.m.
Created at: April 8, 2026, 9:29 p.m.