Triple

T8868039
Position Surface form Disambiguated ID Type / Status
Subject Jerrald King Goldsmith E211068 entity
Predicate notableWork P4 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: [Jerrald King Goldsmith, notableWork, Rudy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rudy
Context triple: [Jerrald King Goldsmith, notableWork, 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. Uncle Rudi
    Uncle Rudi is a famous 1965 photorealistic painting by Gerhard Richter depicting his uncle in a Nazi uniform, often cited as a key work in his exploration of memory and Germany’s Nazi past.
  • 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_69ca838d3c7c8190a849566d5afd2b11 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61241d048190aead14a8f5589856 completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0dafdf48190abc1fe1a8397e339 completed April 3, 2026, 11:13 a.m.
Created at: March 30, 2026, 6:51 p.m.