Triple

T14969666
Position Surface form Disambiguated ID Type / Status
Subject Marion Marshall E373282 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: [Marion Marshall, notableWork, The Stooge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Stooge
Context triple: [Marion Marshall, 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e59a7c8190a1634a706ea68fda completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8be6ce68819099f841d83c6ca33d completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:49 a.m.