Triple

T1655902
Position Surface form Disambiguated ID Type / Status
Subject Tommy Lasorda E35797 entity
Predicate spouse P13 FINISHED
Object Jo Lasorda E35797 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: Jo Lasorda | Statement: [Tommy Lasorda, spouse, Jo Lasorda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jo Lasorda
Context triple: [Tommy Lasorda, spouse, Jo Lasorda]
  • A. Tommy Lasorda chosen
    Tommy Lasorda was a Hall of Fame Major League Baseball manager and longtime face of the Los Angeles Dodgers, known for leading the team to multiple World Series titles and his colorful, outspoken personality.
  • B. Ozzie Guillén
    Ozzie Guillén is a former Major League Baseball shortstop and manager best known for leading the Chicago White Sox to a World Series championship in 2005.
  • C. Bill Fernandez
    Bill Fernandez is an early Apple employee and computer engineer known for introducing Steve Jobs to Steve Wozniak and helping design the Apple I.
  • D. Chuck Pacheco
    Chuck Pacheco is a film producer best known for his work on the crime drama movie "Alpha Dog."
  • E. Javier Mariscal
    Javier Mariscal is a Spanish designer and illustrator renowned for his playful, postmodern graphic style and influential work in contemporary design and visual culture.
  • 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_69a88606aa808190aa0b421b4271f220 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb4535180819088e3bdaa591dcdbd completed March 7, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71a8c22c8190b7f2883dfbd1403f completed March 8, 2026, 12:55 p.m.
Created at: March 4, 2026, 7:29 p.m.