Triple

T11079651
Position Surface form Disambiguated ID Type / Status
Subject Lourdes Gourriel E261955 entity
Predicate familyName P18 FINISHED
Object Gourriel E261955 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: Gourriel | Statement: [Lourdes Gourriel, familyName, Gourriel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gourriel
Context triple: [Lourdes Gourriel, familyName, Gourriel]
  • A. Fielder
    Fielder is the surname of Prince Fielder, a former Major League Baseball slugger known for his power hitting and multiple All-Star selections.
  • B. Alomar
    Alomar is a surname most famously associated with Hall of Fame Major League Baseball second baseman Roberto Alomar and his baseball-playing family.
  • C. Palmeiro
    Palmeiro is the surname of Rafael Palmeiro, a former Major League Baseball first baseman and designated hitter known for his power hitting and long career.
  • D. Francona
    Francona is a surname most prominently associated with American baseball figures Tito (Terry) Francona and his father John Francona.
  • E. Lourdes Gourriel chosen
    Lourdes Gourriel is a prominent former Cuban baseball player and coach, widely recognized as one of the stars of Cuban baseball during the 1980s and 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7999603948190934bca3a9151d726 completed April 9, 2026, 12:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e77a78288190aa76912e0fa821b5 completed April 18, 2026, 8:20 p.m.
Created at: April 8, 2026, 9:27 p.m.