Triple

T14574564
Position Surface form Disambiguated ID Type / Status
Subject Len Blum E342006 entity
Predicate notableWork P4 FINISHED
Object Meatballs III: Summer Job E380554 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: Meatballs III: Summer Job | Statement: [Len Blum, notableWork, Meatballs III: Summer Job]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meatballs III: Summer Job
Context triple: [Len Blum, notableWork, Meatballs III: Summer Job]
  • A. Meatballs III: Summer Job chosen
    Meatballs III: Summer Job is a 1986 Canadian-American comedy film and the third installment in the Meatballs series, following the misadventures at a summer resort.
  • B. Meatballs Part II
    Meatballs Part II is a 1984 comedy film that continues the summer-camp hijinks of the original Meatballs with a new cast, outlandish gags, and a more fantastical, slapstick tone.
  • C. Meatballs
    Meatballs is a 1979 comedy film that helped establish Bill Murray as a major comedic star through his role as an irreverent summer camp counselor.
  • D. Big Meat
    Big Meat is a supporting criminal figure in the 2006 action-crime film "Waist Deep."
  • E. Beef III
    Beef III is a documentary film that chronicles and analyzes high-profile feuds and conflicts within the hip-hop community.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f49d58819094fcd2a702e146cb completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8acc788081909c41905785fa9a29 completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:24 a.m.