Triple

T22131589
Position Surface form Disambiguated ID Type / Status
Subject Vicarious E546915 entity
Predicate partOf P40 FINISHED
Object 10,000 Days 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: 10,000 Days | Statement: [Vicarious, partOf, 10,000 Days]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 10,000 Days
Context triple: [Vicarious, partOf, 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. 117 Days
    117 Days is a memoir by South African anti-apartheid activist Ruth First recounting her arrest and solitary confinement under the apartheid regime.
  • D. A Thousand Days Before
    "A Thousand Days Before" is a song by the American rock band Soundgarden from their 2012 reunion album *King Animal*.
  • E. Four Days
    "Four Days" is a song by American rock band Counting Crows from their 1999 album *This Desert Life*.
  • 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_69e11e39bf348190b541bfa16a7b71e0 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1298746888190967b4e3ae0558e9e completed April 28, 2026, 9:41 p.m.
Created at: April 16, 2026, 8:32 p.m.