Triple

T17510801
Position Surface form Disambiguated ID Type / Status
Subject Last Resort E426441 entity
Predicate album P1995 FINISHED
Object Infest 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: Infest | Statement: [Last Resort, album, Infest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Infest
Context triple: [Last Resort, album, Infest]
  • A. Infest chosen
    Infest is Papa Roach’s breakthrough major-label album, best known for its nu metal sound and the hit single "Last Resort."
  • B. Infestation
    Infestation is a hard rock album by the American glam metal band Ratt, known for its return-to-form sound reminiscent of their classic 1980s style.
  • C. Infestation
    Infestation is a 2009 horror-comedy film about a group of survivors battling giant mutant insects after a mysterious global event.
  • D. Screamers
    Screamers is a 1995 science fiction horror film, based on a Philip K. Dick story, in which Peter Weller stars as a soldier on a war-torn planet threatened by self-replicating killer machines.
  • E. Ravenous
    Ravenous is a 1999 black comedy horror film about cannibalism on the American frontier, known for its dark humor, atmospheric setting, and cult following.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4525b03c48190ada74a7da0f4739c completed April 19, 2026, 3:56 a.m.
Created at: April 10, 2026, 5:48 a.m.