Triple

T21257303
Position Surface form Disambiguated ID Type / Status
Subject Fannie Borach E523901 entity
Predicate notableWork P4 FINISHED
Object Everybody Sing 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: Everybody Sing | Statement: [Fannie Borach, notableWork, Everybody Sing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Everybody Sing
Context triple: [Fannie Borach, notableWork, Everybody Sing]
  • A. Everybody Sing chosen
    Everybody Sing is a 1938 American musical comedy film starring Judy Garland as a rebellious schoolgirl with a remarkable singing talent.
  • B. Sing It
    "Sing It" is a 2012 pop single by American singer Rebecca Black that marked a more mature follow-up to her viral debut "Friday."
  • C. Sing Sing
    Sing Sing is a notorious maximum-security prison in Ossining, New York, long known for housing dangerous criminals and for its historical use of the electric chair.
  • D. Sing It!
    Sing It! is a musical comedy web series starring Debby Ryan that parodies televised singing competitions.
  • E. Sing, Sing, Sing
    "Sing, Sing, Sing" is a landmark big band jazz and swing composition, famously associated with Benny Goodman and celebrated for its driving rhythm and extended drum and clarinet solos.
  • 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735e2f1d48190b566ab4d736fdbc4 completed April 21, 2026, 8:31 a.m.
Created at: April 16, 2026, 3:58 p.m.