Triple

T423518
Position Surface form Disambiguated ID Type / Status
Subject MLS Cup 2014 E8155 entity
Predicate referee P268 FINISHED
Object Jair Marrufo E40042 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: Jair Marrufo | Statement: [MLS Cup 2014, referee, Jair Marrufo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jair Marrufo
Context triple: [MLS Cup 2014, referee, Jair Marrufo]
  • A. Jair Marrufo chosen
    Jair Marrufo is an American soccer referee who has officiated at the highest levels of Major League Soccer and international competitions.
  • B. Miguel Jontel Pimentel
    Miguel Jontel Pimentel is an American singer, songwriter, and record producer best known for his genre-blending R&B music and hits like "Adorn."
  • C. Víctor Manuel Fernández
    Víctor Manuel Fernández is an Argentine Catholic theologian and cardinal who serves as a close adviser to Pope Francis and a leading figure in shaping contemporary Catholic doctrine.
  • D. Francisco González Bocanegra
    Francisco González Bocanegra was a 19th-century Mexican poet best known for writing the lyrics of Mexico’s national anthem.
  • E. Raúl Cárdenas
    Raúl Cárdenas was a prominent Mexican football manager best known for leading Club América to multiple league titles during the 1960s and 1970s.
  • 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_69a2e7f1d1bc81909cf2dc9754a3c334 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2eec200648190bcb9f1b98c8e9cdf completed Feb. 28, 2026, 1:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69a431df41888190b643fd3cf0d20a09 completed March 1, 2026, 12:32 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.