Triple

T22172073
Position Surface form Disambiguated ID Type / Status
Subject Two Girls and a Sailor E547946 entity
Predicate includesSong P7178 FINISHED
Object Inka Dinka Doo 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: Inka Dinka Doo | Statement: [Two Girls and a Sailor, includesSong, Inka Dinka Doo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inka Dinka Doo
Context triple: [Two Girls and a Sailor, includesSong, Inka Dinka Doo]
  • A. Inka Dinka Doo chosen
    "Inka Dinka Doo" is a whimsical novelty song closely associated with comedian and entertainer Jimmy Durante, becoming his signature tune in the 1930s.
  • B. Monkey-Doodle-Doo
    "Monkey-Doodle-Doo" is a lively novelty song featured in the Marx Brothers' 1929 film and stage musical *The Cocoanuts*.
  • C. Go, Diego, Go!
    Go, Diego, Go! is an animated children's television series that follows young animal rescuer Diego on educational adventures teaching kids about wildlife and the environment.
  • D. Bukka Doopeyduk
    Bukka Doopeyduk is the hapless, everyman protagonist of Ishmael Reed’s satirical novel "The Free-Lance Pallbearers," navigating a grotesque, absurdist dictatorship.
  • E. Kiddyland
    Kiddyland is a children’s amusement area within Playland Park featuring kid-friendly rides and attractions.
  • 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_69e11e3d53f88190a2b690e3f25bb062 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a68c26c8190b1258595bd96cb63 completed April 28, 2026, 9:45 p.m.
Created at: April 16, 2026, 8:34 p.m.