Triple

T5784085
Position Surface form Disambiguated ID Type / Status
Subject Tool E128226 entity
Predicate hasAlbum P1995 FINISHED
Object 10,000 Days E546907 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: 10,000 Days | Statement: [Tool, hasAlbum, 10,000 Days]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 10,000 Days
Context triple: [Tool, hasAlbum, 10,000 Days]
  • A. 10,000 Days chosen
    10,000 Days is a progressive metal album by the American band Tool, known for its complex song structures, atmospheric soundscapes, and introspective themes.
  • B. 1000 Days
    1000 Days is an experimental rock album by the American band Wand, noted for its psychedelic textures and lo-fi, fuzzed-out sound.
  • C. 24 Hours
    "24 Hours" is a synth-pop song by American singer Sky Ferreira, known for its atmospheric production and emotionally charged lyrics.
  • D. Ten Years Later
    Ten Years Later is the final section of Alexandre Dumas's d'Artagnan Romances, concluding the adventures of the Musketeers with a focus on their later years and ultimate fates.
  • E. End of Days
    End of Days is a 1999 supernatural action-horror film starring Arnold Schwarzenegger as a former cop who must protect a young woman from Satan on the eve of the new millennium.
  • 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_69c0084450048190bc647b649a05136b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02a19870c819084dc68b36b0cdd60 completed March 22, 2026, 5:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a17582f48190af88b000ced8b7b5 completed March 23, 2026, 2:12 a.m.
Created at: March 22, 2026, 3:50 p.m.