Triple

T5588835
Position Surface form Disambiguated ID Type / Status
Subject Air Bud E146825 entity
Predicate follows P134 FINISHED
Object Air Bud (short film) E146825 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: Air Bud (short film) | Statement: [Air Bud, follows, Air Bud (short film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Air Bud (short film)
Context triple: [Air Bud, follows, Air Bud (short film)]
  • A. Air Bud chosen
    Air Bud is a 1997 family sports comedy film about a basketball-playing golden retriever that launched a popular franchise of animal-centered movies.
  • B. 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.
  • C. Babe
    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.
  • D. Stuart Little
    Stuart Little is a beloved children's book and film character, a small, talking mouse who lives with a human family and embarks on heartwarming adventures.
  • E. Bumpy Dog
    Bumpy Dog is a loyal, excitable toy dog character from Enid Blyton’s Noddy stories, known for accompanying Noddy on his adventures in Toyland.
  • 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_69c009036c408190981a8d690b679b67 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0209e892c8190b936a05ef2a14d36 completed March 22, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d2f8710819094f5d052b767b9a6 completed March 22, 2026, 8:12 p.m.
Created at: March 22, 2026, 3:38 p.m.