Triple

T15343133
Position Surface form Disambiguated ID Type / Status
Subject Lee May E366846 entity
Predicate battedBehind P43300 FINISHED
Object Tony Perez E71659 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: Tony Perez | Statement: [Lee May, battedBehind, Tony Perez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Perez
Context triple: [Lee May, battedBehind, Tony Perez]
  • A. Tony Perez
    Tony Perez is a professional boxing referee known for officiating major bouts, including high-profile championship fights.
  • B. Tony Pérez chosen
    Tony Pérez is a Hall of Fame Cuban-American first baseman and key run producer best known for his starring role with the Cincinnati Reds’ “Big Red Machine” dynasty of the 1970s.
  • C. Billy Cunningham
    Billy Cunningham is a Hall of Fame American basketball player and coach best known for his starring role with the Philadelphia 76ers in the 1960s and 1970s and later leading the team to an NBA championship as head coach.
  • D. Johnny Bucyk
    Johnny Bucyk is a Hall of Fame left winger and longtime captain renowned as one of the greatest players in Boston Bruins history.
  • E. Perry Greene
    Perry Greene is an American businessman best known as the husband of conservative U.S. Representative Marjorie Taylor Greene.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e14d8088190876fceca75d12322 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01f70e688190bb6a073e49ff968c completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:17 a.m.