Triple

T17716668
Position Surface form Disambiguated ID Type / Status
Subject Four Horsemen of Notre Dame E442216 entity
Predicate hallOfFameInductee P1750 FINISHED
Object Don Miller NE NERFINISHED

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: Don Miller | Statement: [Four Horsemen of Notre Dame, hallOfFameInductee, Don Miller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Miller
Context triple: [Four Horsemen of Notre Dame, hallOfFameInductee, Don Miller]
  • A. Don Miller chosen
    Don Miller was a standout guard for the University of Notre Dame’s football team and one of the famed “Four Horsemen” backfield of the early 1920s.
  • B. Joe Miller
    Joe Miller is a lawyer in the film "Philadelphia" who overcomes his own prejudices to defend an AIDS-stricken attorney in a landmark discrimination case.
  • C. Dan Miller
    Dan Miller is an American singer best known as a member of the early 2000s boy band O-Town formed on the reality TV show "Making the Band."
  • D. Dan Miller
    Dan Miller is a central character in the 2007 horror film "The Mist," known as a pragmatic and skeptical local who becomes a key figure in the tense human conflicts that arise when townspeople are trapped in a supermarket by a mysterious, deadly fog.
  • E. Carl Miller
    Carl Miller was an American silent film actor active in the 1920s, known for his supporting roles in several notable early Hollywood productions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47481663c8190a1110385e5596ab0 completed April 19, 2026, 6:21 a.m.
Created at: April 10, 2026, 10:06 a.m.