Triple

T18433537
Position Surface form Disambiguated ID Type / Status
Subject Finley Stadium E450332 entity
Predicate namedAfter P63 FINISHED
Object W. Max Finley 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: W. Max Finley | Statement: [Finley Stadium, namedAfter, W. Max Finley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: W. Max Finley
Context triple: [Finley Stadium, namedAfter, W. Max Finley]
  • A. W. Max Finley chosen
    W. Max Finley was a prominent Chattanooga businessman and civic leader whose contributions to the community led to the city’s main football stadium being named in his honor.
  • B. Paul Ebersold
    Paul Ebersold is a music producer known for his work on various rock and alternative records.
  • C. Joe Farrier
    Joe Farrier is a character in Disney’s live-action film "Dumbo," portrayed as the young son of war veteran and circus performer Holt Farrier.
  • D. Bill Klem
    Bill Klem was a pioneering Major League Baseball umpire, often called the "father of modern umpiring," known for his long career and influential role in shaping officiating standards.
  • E. Roger Cobb
    Roger Cobb is the harried, skeptical lawyer who becomes comically entangled with a deceased heiress’s spirit in the 1984 fantasy-comedy film "All of Me."
  • 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51b1915d88190a1ecd81cd78ee7d2 completed April 19, 2026, 6:12 p.m.
Created at: April 10, 2026, 11:27 a.m.