Triple

T9671857
Position Surface form Disambiguated ID Type / Status
Subject Lou Piniella E234048 entity
Predicate finalMLBGameLeague P31233 FINISHED
Object MLB E967 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: MLB | Statement: [Lou Piniella, finalMLBGameLeague, MLB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MLB
Context triple: [Lou Piniella, finalMLBGameLeague, MLB]
  • A. MLB
    MLB is the IATA airport code for Melbourne Orlando International Airport, a public airport serving the Melbourne and Space Coast region of Florida, USA.
  • B. Major League Baseball chosen
    Major League Baseball is the premier professional baseball organization in North America, comprising teams from the United States and Canada and representing the highest level of play in the sport.
  • C. Baseball
    Baseball is a documentary television miniseries by Ken Burns that explores the history, cultural impact, and evolution of the sport in the United States.
  • D. Serie Nacional de Béisbol
    Serie Nacional de Béisbol is Cuba’s top professional baseball league and the country’s premier domestic baseball competition.
  • E. World Series Baseball
    World Series Baseball is a classic baseball video game franchise known for its realistic gameplay and strong presence on Sega consoles in the 1990s.
  • 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_69ca848f55e48190b3f67252571c3d45 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c6949108190b699442e5c2aacf9 completed April 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d190f9bf78819093542adae997a668 completed April 4, 2026, 10:30 p.m.
Created at: March 30, 2026, 8:15 p.m.