Triple

T13161580
Position Surface form Disambiguated ID Type / Status
Subject Rudi E312738 entity
Predicate spellingVariantOf P457 FINISHED
Object Rudy E261221 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: Rudy | Statement: [Rudi, spellingVariantOf, Rudy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rudy
Context triple: [Rudi, spellingVariantOf, Rudy]
  • A. Rudy chosen
    Rudy is a 1993 American sports drama film about an underdog's determined quest to play football for the University of Notre Dame.
  • B. Rudy
    Rudy is a stylish, street-smart member of the kids’ group in the animated series "Fat Albert and the Cosby Kids," known for his sharp clothes and sometimes cocky attitude.
  • C. Rudi
    Rudi is the official mascot of the Cleveland Gladiators arena football team, known for energizing fans at games and team events.
  • D. Rudi
    Rudi is a common diminutive form of the given name Rudolf, used in various European languages.
  • E. "Rudy: My Story"
    "Rudy: My Story" is the autobiographical book in which Daniel "Rudy" Ruettiger recounts his journey from an undersized, underdog dreamer to earning a place on the Notre Dame football team and inspiring the famous film "Rudy."
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c0a9d348190909fcf45f9d650e4 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eaf2ae688190b3484989791977ce completed May 3, 2026, 6:28 a.m.
Created at: April 9, 2026, 9:12 p.m.