Triple

T21928123
Position Surface form Disambiguated ID Type / Status
Subject Album II E541494 entity
Predicate hasTrack P3284 FINISHED
Object School 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: School Days | Statement: [Album II, hasTrack, School Days]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: School Days
Context triple: [Album II, hasTrack, School Days]
  • A. School Days
    "School Days" is a classic 1957 rock and roll song by Chuck Berry that nostalgically captures American teenage life and the excitement of escaping school for music and dancing.
  • B. School Days
    School Days is a folk-influenced studio album by American singer-songwriter Loudon Wainwright III, known for its witty, autobiographical songwriting.
  • C. School Days chosen
    "School Days" is a landmark 1976 jazz fusion album by bassist Stanley Clarke, renowned for its virtuosic bass work and influential title track.
  • D. Gakumon no Susume
    Gakumon no Susume is a seminal 19th-century Japanese essay collection advocating Western-style education, individual independence, and modernization.
  • E. The Making of a Schoolgirl
    The Making of a Schoolgirl is a work by British author and suffragist Evelyn Sharp, reflecting her interest in girls’ lives and education in the late 19th and early 20th centuries.
  • 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_69e0c47d74488190a15119108794a307 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f123fc188481909c74fd5f1bd52258 completed April 28, 2026, 9:17 p.m.
Created at: April 16, 2026, 7:46 p.m.