Triple

T22534281
Position Surface form Disambiguated ID Type / Status
Subject Hybrid Theory E557116 entity
Predicate nextWork P9710 FINISHED
Object Reanimation 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: Reanimation | Statement: [Hybrid Theory, nextWork, Reanimation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reanimation
Context triple: [Hybrid Theory, nextWork, Reanimation]
  • A. Reanimation chosen
    Reanimation is a remix album by American rock band Linkin Park that reinterprets tracks from their debut album Hybrid Theory with new arrangements and guest artists.
  • B. Revivre
    Revivre is a 2014 South Korean drama film by renowned director Im Kwon-taek that portrays an aging executive grappling with his wife’s terminal illness and his own emotional turmoil.
  • C. Raise the Dead
    "Raise the Dead" is a hard rock song by the supergroup Hollywood Vampires, showcasing their classic rock influences and theatrical style.
  • D. Raise the Dead
    "Raise the Dead" is a studio album by American rock band Phantom Planet, showcasing their energetic indie rock sound and songwriting.
  • E. Back from the Dead
    Back from the Dead is a breakout drill mixtape by Chicago rapper Chief Keef that helped propel him to mainstream recognition in the early 2010s.
  • 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_69e11e57483c8190b0887c4f8ff26446 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ed952f48190b63225e7de131679 completed April 29, 2026, 1:28 a.m.
Created at: April 16, 2026, 8:51 p.m.