Triple

T1095247
Position Surface form Disambiguated ID Type / Status
Subject Mike Scioscia E24256 entity
Predicate name P16 FINISHED
Object Mike Scioscia E24256 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: Mike Scioscia | Statement: [Mike Scioscia, name, Mike Scioscia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Scioscia
Context triple: [Mike Scioscia, name, Mike Scioscia]
  • A. Mike Scioscia chosen
    Mike Scioscia is a former Major League Baseball catcher and longtime Los Angeles Angels manager who led the team to its first World Series title in 2002.
  • B. Tony La Russa
    Tony La Russa is a Hall of Fame Major League Baseball manager best known for his long, successful tenures with the Oakland Athletics and St. Louis Cardinals, with whom he won multiple World Series titles.
  • C. Dave Roberts
    Dave Roberts is a former Major League Baseball outfielder and the longtime manager of the Los Angeles Dodgers, known for leading the team to multiple postseason appearances and a World Series title.
  • D. Scott Servais
    Scott Servais is a former Major League Baseball catcher who became a professional baseball executive and the longtime manager of the Seattle Mariners.
  • E. George Kleine
    George Kleine was an early American film producer and distributor who played a key role in the development of the motion picture industry in the early 20th century.
  • 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_69a4940542308190ac2a0b1f730b7cfc completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b99e92308190b8a8c499e1630672 completed March 1, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c3bb31881908768a909ce56a95d completed March 7, 2026, 4:03 p.m.
Created at: March 1, 2026, 7:42 p.m.