Triple

T22842780
Position Surface form Disambiguated ID Type / Status
Subject Villa Manifesto E566125 entity
Predicate hasPart P35 FINISHED
Object Stereo 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: Stereo | Statement: [Villa Manifesto, hasPart, Stereo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stereo
Context triple: [Villa Manifesto, hasPart, Stereo]
  • A. Stereo chosen
    "Stereo" is an indie rock song by the American band Pavement, known for its offbeat lyrics and inclusion on their 1997 album "Brighten the Corners."
  • B. Moving in Stereo
    "Moving in Stereo" is a synth-driven rock song by The Cars, best known for its atmospheric production and prominent use in the film *Fast Times at Ridgemont High*.
  • C. Binaural
    Binaural is a 2000 studio album by American rock band Pearl Jam, noted for its experimental production and use of binaural recording techniques.
  • D. Duophonic
    Duophonic is an independent record label best known for releasing music by the experimental rock band Stereolab and related projects.
  • E. Stereo Type
    Stereo Type is a hip-hop album by the Los Angeles rap group Strong Arm Steady, showcasing their West Coast style and collaborative production.
  • 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e866080819091adfb41cd2a4e13 completed April 29, 2026, 3:44 a.m.
Created at: April 17, 2026, 3:36 p.m.