Triple

T14843203
Position Surface form Disambiguated ID Type / Status
Subject White Wilderness E349017 entity
Predicate soundMix P14839 FINISHED
Object Mono E1062991 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: Mono | Statement: [White Wilderness, soundMix, Mono]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mono
Context triple: [White Wilderness, soundMix, Mono]
  • A. Mono
    Mono is an open-source, cross-platform implementation of Microsoft's .NET framework that enables running .NET applications on multiple operating systems.
  • B. Mono
    Mono is a Japanese post-rock band known for its expansive, cinematic instrumentals and emotionally intense live performances.
  • C. Mono chosen
    Mono is a single-channel audio format commonly used in early film and television soundtracks before stereo became standard.
  • D. Mono
    Mono is a Native American language of the Numic branch of the Uto-Aztecan language family, traditionally spoken in parts of California.
  • E. Mono
    "Mono" is a studio album by the American country music band The Mavericks, showcasing their signature blend of country, rock, and Latin influences.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded28fa49c81908d1059e6cafd607f completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe38ab372881909f60435e73424aea completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:53 a.m.