Triple

T11385792
Position Surface form Disambiguated ID Type / Status
Subject Sinkin’ in the Bathtub E269711 entity
Predicate featuresCharacter P626 FINISHED
Object Bosko E922937 NE FINISHED

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: Bosko | Statement: [Sinkin’ in the Bathtub, featuresCharacter, Bosko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bosko
Context triple: [Sinkin’ in the Bathtub, featuresCharacter, Bosko]
  • A. Bosko chosen
    Bosko is an early cartoon character from the late 1920s and early 1930s, known as one of Warner Bros.' first animated stars in the Looney Tunes series.
  • B. Buggsy
    Buggsy is the nickname of Martin "Buggsy" Goldstein, an American mobster associated with organized crime in the early 20th century.
  • C. Fritzie
    Fritzie was the ring nickname of Fritzie Zivic, a rugged and crafty American welterweight boxing champion active in the 1930s and 1940s.
  • D. Roscoe the Lion
    Roscoe the Lion is the official lion mascot representing The College of New Jersey at its athletic events and campus activities.
  • E. Baba the Turk
    Baba the Turk is a bearded lady and flamboyant character in Igor Stravinsky’s opera *The Rake’s Progress*, known for her comic yet unsettling marriage to the protagonist Tom Rakewell.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc378d808190b587a044ede67e1e completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b813cfc48190a10d9b78953112ae completed April 20, 2026, 5:22 a.m.
Created at: April 8, 2026, 9:34 p.m.