Triple

T7445796
Position Surface form Disambiguated ID Type / Status
Subject Charles Martin Smith E171875 entity
Predicate notableWork P4 FINISHED
Object Air Bud 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 | Statement: [Charles Martin Smith, notableWork, Air Bud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Air Bud
Context triple: [Charles Martin Smith, notableWork, Air Bud]
  • 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. Air Bud: Spikes Back
    Air Bud: Spikes Back is a family sports comedy film in the Air Bud series, featuring the basketball-playing golden retriever Buddy as he takes on beach volleyball and foils a group of criminals.
  • 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 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.
  • E. 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.
  • 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_69c68a65402881908f7869368eb746fb completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f37054388190a6cb4c0db2ca6014 completed March 27, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c827a6668c8190a88c6406684e7689 completed March 28, 2026, 7:10 p.m.
Created at: March 27, 2026, 3:14 p.m.