Triple

T16676583
Position Surface form Disambiguated ID Type / Status
Subject Gone Again E405228 entity
Predicate hasTrack P3284 FINISHED
Object Dead to the World E416617 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: Dead to the World | Statement: [Gone Again, hasTrack, Dead to the World]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dead to the World
Context triple: [Gone Again, hasTrack, Dead to the World]
  • A. Dead to the World chosen
    Dead to the World is a heavy, riff-driven song by the American alternative metal band Helmet, known for its dense guitar sound and rhythmic complexity.
  • B. Dead to the World
    "Dead to the World" is a heavy metal studio album by American thrash band Meliah Rage, showcasing their aggressive riff-driven sound and melodic vocals.
  • C. Among the Dead
    "Among the Dead" is a darkly comic novel by Michael Tolkin that explores guilt, faith, and moral reckoning through the story of a man confronting his past after surviving a plane crash.
  • D. To the Death
    "To the Death" is the hard-hitting debut studio album by Brooklyn hip hop duo M.O.P., known for its aggressive street-oriented sound and raw lyrical style.
  • E. The Death Side
    The Death Side is a track featured on the album "Death Certificate" by Ice Cube.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d6b69cc8190b19632e1b4293569 completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a3c79888190b6ddd55b91d97183 completed May 10, 2026, 1:38 p.m.
Created at: April 10, 2026, 5:19 a.m.