Triple

T11994997
Position Surface form Disambiguated ID Type / Status
Subject Martin and Lewis E285505 entity
Predicate notableWork P4 FINISHED
Object The Stooge E581034 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: The Stooge | Statement: [Martin and Lewis, notableWork, The Stooge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Stooge
Context triple: [Martin and Lewis, notableWork, The Stooge]
  • A. The Stooge chosen
    The Stooge is a 1952 comedy film starring Dean Martin and Jerry Lewis, centered on a vaudeville act whose success hinges on an uncredited “stooge” partner.
  • B. Magoo
    Magoo was an American rapper best known as one half of the hip hop duo Timbaland & Magoo, active in the late 1990s and early 2000s.
  • C. Three Stooges
    The Three Stooges were an American vaudeville and comedy team famous for their slapstick short films and physical humor, particularly popular from the 1930s through the 1950s.
  • D. Shankman
    Shankman is a surname most notably associated with American film director and choreographer Adam Shankman.
  • E. Mr. Magoo
    Mr. Magoo is a near-sighted, bumbling cartoon character known for getting into comical misadventures due to his poor vision.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903b211688190bfe6dd15c3f96d2f completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48ad06350819094180403858db172 completed May 1, 2026, 11:13 a.m.
Created at: April 8, 2026, 9:46 p.m.