Triple

T13891486
Position Surface form Disambiguated ID Type / Status
Subject John Belushi E333980 entity
Predicate notableCharacter P1481 FINISHED
Object Bluto Blutarsky E979142 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: Bluto Blutarsky | Statement: [John Belushi, notableCharacter, Bluto Blutarsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bluto Blutarsky
Context triple: [John Belushi, notableCharacter, Bluto Blutarsky]
  • A. John "Bluto" Blutarsky chosen
    John "Bluto" Blutarsky is the hard-partying, anarchic fraternity brother played by John Belushi in the comedy film *Animal House*.
  • B. Bluto
    Bluto is a large, bearded, and often villainous strongman best known as Popeye’s main rival in the Popeye franchise.
  • C. Cletus Klump
    Cletus Klump is the jovial, gluttonous patriarch of the Klump family in the Nutty Professor film series, portrayed in heavy prosthetics by Eddie Murphy.
  • D. Rastapopoulos
    Rastapopoulos is a recurring villain in Hergé’s "The Adventures of Tintin," known as a ruthless, wealthy mastermind involved in various criminal enterprises.
  • E. Tobolowsky
    Tobolowsky is the surname of American character actor and storyteller Stephen Tobolowsky, known for his prolific work in film and television.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de23a537d4819093c2bae2a244816a completed April 14, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c71a43908190bc7537f0a2379599 completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:15 p.m.