Triple

T6408485
Position Surface form Disambiguated ID Type / Status
Subject Mike Scioscia E127646 entity
Predicate familyName P18 FINISHED
Object Scioscia E127646 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: Scioscia | Statement: [Mike Scioscia, familyName, Scioscia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scioscia
Context triple: [Mike Scioscia, familyName, Scioscia]
  • A. Scioscia chosen
    Scioscia is an Italian surname most notably associated with former Major League Baseball catcher and longtime Los Angeles Angels manager Mike Scioscia.
  • B. Joey Cora
    Joey Cora is a former Major League Baseball second baseman and coach, known for his time with teams like the Chicago White Sox and Seattle Mariners.
  • C. Jason Giambi
    Jason Giambi is a former Major League Baseball slugger and MVP known for his powerful hitting, long career with teams like the Oakland Athletics and New York Yankees, and a high-profile performance-enhancing drug scandal.
  • D. Nomar Garciaparra
    Nomar Garciaparra is a former Major League Baseball shortstop best known for his star tenure with the Boston Red Sox in the late 1990s and early 2000s.
  • E. Vernon Wells
    Vernon Wells is an Australian character actor best known for his villainous roles in action films such as "Mad Max 2" and "Commando."
  • 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_69c0083723d88190b1e37b19df162c08 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c068ccd804819097b106604372c14a completed March 22, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c638b38c888190aa2433173db64c90 completed March 27, 2026, 7:58 a.m.
Created at: March 22, 2026, 4:41 p.m.