Triple

T23191401
Position Surface form Disambiguated ID Type / Status
Subject Tears on My Pillow E579744 entity
Predicate notableCoverVersionBy P11142 FINISHED
Object Sha Na Na 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: Sha Na Na | Statement: [Tears on My Pillow, notableCoverVersionBy, Sha Na Na]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sha Na Na
Context triple: [Tears on My Pillow, notableCoverVersionBy, Sha Na Na]
  • A. Sha Na Na chosen
    Sha Na Na is an American rock and roll doo-wop revival group best known for their high-energy 1950s-style performances and their appearance at the 1969 Woodstock Festival.
  • B. The Whoopee Boys
    The Whoopee Boys is a 1986 American comedy film about two crude misfits who try to transform themselves into gentlemen to win over high society.
  • C. The Lovables
    The Lovables were a 1960s American pop/soul vocal group associated with the girl-group era and known for their harmony-driven recordings.
  • D. The Buckaroos
    The Buckaroos were the backing band for country singer Buck Owens, known for helping define the Bakersfield sound in the 1960s.
  • E. Oingo Boingo
    Oingo Boingo was an American new wave band known for its quirky, high-energy style and theatrical performances, led by composer and singer Danny Elfman.
  • 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_69e24600eed08190bd7e5295653a1503 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18fd777c08190bf79e38844fedf27 completed April 29, 2026, 4:57 a.m.
Created at: April 17, 2026, 4:05 p.m.