Triple

T9414370
Position Surface form Disambiguated ID Type / Status
Subject Rudy Law E226977 entity
Predicate givenName P17 FINISHED
Object Rudy E341004 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: [Rudy Law, givenName, Rudy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rudy
Context triple: [Rudy Law, givenName, Rudy]
  • A. Rudy
    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 chosen
    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_69ca84359e7c819091148ba4b670e436 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd68c7bd648190b17f082883c98239 completed April 1, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107b63cf48190a072e3434a7b85a8 completed April 4, 2026, 12:44 p.m.
Created at: March 30, 2026, 7:47 p.m.