Triple

T20154879
Position Surface form Disambiguated ID Type / Status
Subject Roadshow Film Distributors E491532 entity
Predicate distributes P1951 FINISHED
Object Babe NE NERFINISHED

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: Babe | Statement: [Roadshow Film Distributors, distributes, Babe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Babe
Context triple: [Roadshow Film Distributors, distributes, Babe]
  • A. Babe
    Babe is the famous nickname of George Herman "Babe" Ruth, the legendary American baseball player widely regarded as one of the greatest hitters in the sport's history.
  • B. Babe chosen
    Babe is a critically acclaimed 1995 family film that blends live-action and animatronics to tell the story of a pig who aspires to be a sheepdog.
  • C. Babe
    "Babe" is a novel by American author Marianne Wiggins, known for its inventive narrative voice and exploration of complex personal relationships.
  • D. Babe
    Babe is the nickname of Babe Phelps, an American Major League Baseball catcher active in the 1930s and early 1940s.
  • E. Babe
    Babe is the nickname of Thomas "Babe" Levy, the fictional graduate student and marathon runner portrayed by Dustin Hoffman in the 1976 thriller film "Marathon Man."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667df7ac081908816d2d29e7c6513 completed April 20, 2026, 5:52 p.m.
Created at: April 11, 2026, 11:34 p.m.