Triple

T11050104
Position Surface form Disambiguated ID Type / Status
Subject Daniel "Rudy" Ruettiger E261222 entity
Predicate familyName P18 FINISHED
Object Ruettiger E874543 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: Ruettiger | Statement: [Daniel "Rudy" Ruettiger, familyName, Ruettiger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruettiger
Context triple: [Daniel "Rudy" Ruettiger, familyName, Ruettiger]
  • A. Ruettiger chosen
    Ruettiger is the surname of Rudy Ruettiger, the former Notre Dame football player whose life inspired the popular sports film "Rudy."
  • B. Ruppert
    Ruppert is a masculine given name and surname of Germanic origin, related to the name Rupert.
  • C. Roone
    Roone is a masculine given name most notably associated with pioneering American television sports and news executive Roone Arledge.
  • D. Ford Sterling
    Ford Sterling was a prominent American silent film comedian and actor, best known as one of the leading stars of early slapstick cinema.
  • E. Rennie
    Rennie is a Scottish surname most notably associated with the family of civil engineers, including John Rennie the Younger.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79868c78881908c8e3672c05ae7ec completed April 9, 2026, 12:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3aa146b148190a87205e542cc718f completed April 18, 2026, 3:58 p.m.
Created at: April 8, 2026, 9:26 p.m.