Triple

T2758680
Position Surface form Disambiguated ID Type / Status
Subject Gabo E61165 entity
Predicate refersToPersonChild P42033 FINISHED
Object Gonzalo García Barcha E263316 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: Gonzalo García Barcha | Statement: [Gabo, refersToPersonChild, Gonzalo García Barcha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gonzalo García Barcha
Context triple: [Gabo, refersToPersonChild, Gonzalo García Barcha]
  • A. Gonzalo García Barcha chosen
    Gonzalo García Barcha is a Colombian-Mexican film editor and son of Nobel Prize–winning writer Gabriel García Márquez and Mercedes Barcha.
  • B. Lorenzo García-Barbón
    Lorenzo García-Barbón is a Spanish architect best known for his role in designing FC Barcelona’s iconic Camp Nou stadium.
  • C. Eduardo Arenas
    Eduardo Arenas is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Arenas.
  • D. Rafael Maroto
    Rafael Maroto was a Spanish general best known for his leading role on the royalist side during the Latin American wars of independence, particularly in Chile.
  • E. Juan Bohón
    Juan Bohón was a Spanish conquistador best known as the founder of the Chilean city of La Serena in the 16th 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_69ab4b7a85bc819094a349b84beb1f2c completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd2121548190b96f174e6f61f9b5 completed March 7, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b23582f3508190a9eb50e11a08d0f5 completed March 12, 2026, 3:39 a.m.
Created at: March 6, 2026, 9:57 p.m.