Triple

T16261458
Position Surface form Disambiguated ID Type / Status
Subject Southside E394762 entity
Predicate hasTrack P3284 FINISHED
Object Nothing Lasts Forever E813137 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: [Southside, hasTrack, Nothing Lasts Forever]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nothing Lasts Forever
Context triple: [Southside, hasTrack, Nothing Lasts Forever]
  • A. Nothing Lasts Forever
    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 chosen
    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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c4a0b08190af3574f087205afc completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000eee110c819088d99b80435ab70b completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.