Triple

T23524689
Position Surface form Disambiguated ID Type / Status
Subject Louisville Slugger Field E574599 entity
Predicate namedAfter P63 FINISHED
Object Louisville Slugger 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: Louisville Slugger | Statement: [Louisville Slugger Field, namedAfter, Louisville Slugger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louisville Slugger
Context triple: [Louisville Slugger Field, namedAfter, Louisville Slugger]
  • A. Louisville Slugger baseball bats chosen
    Louisville Slugger baseball bats are a famous brand of wooden and metal baseball bats long associated with professional and amateur baseball players in the United States and beyond.
  • B. Rawlings
    Rawlings is a prominent American sporting goods company best known for manufacturing baseball equipment, including the official baseballs used in Major League Baseball.
  • C. Sickles
    Sickles is a surname most notably associated with Daniel Sickles, a controversial 19th-century American politician, Civil War general, and diplomat.
  • D. Saleski
    Saleski is a surname most notably associated with former professional ice hockey player Don Saleski.
  • E. Slazenger
    Slazenger is a British sports equipment brand best known for its long-standing association with tennis and other racket sports.
  • 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_69e245bb3dcc8190ba9a2b35972b58d0 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1ac72bfb88190b7da3837e66e851c completed April 29, 2026, 7 a.m.
Created at: April 17, 2026, 6:09 p.m.