Triple

T9938344
Position Surface form Disambiguated ID Type / Status
Subject John O'Donoghue E194011 entity
Predicate finalLeague P24592 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: [John O'Donoghue, finalLeague, MLB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MLB
Context triple: [John O'Donoghue, finalLeague, 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_69ca82e409348190a393777356b80a2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5e64760819094f599f158d32f33 completed April 2, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d4528108190b38111bb36832a67 completed April 5, 2026, 10:45 a.m.
Created at: March 30, 2026, 8:44 p.m.