Triple

T14079052
Position Surface form Disambiguated ID Type / Status
Subject Manuel Godoy E338814 entity
Predicate familyName P18 FINISHED
Object Godoy E338814 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: Godoy | Statement: [Manuel Godoy, familyName, Godoy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Godoy
Context triple: [Manuel Godoy, familyName, Godoy]
  • A. Godoy chosen
    Godoy is a Spanish surname most famously associated with Manuel Godoy, the powerful favorite and prime minister of King Charles IV of Spain in the late 18th and early 19th centuries.
  • B. Echeandía
    Echeandía is a small town in central Ecuador known for its agricultural activities and rural Andean setting.
  • C. Echeverría
    Echeverría is a Spanish-language surname borne by various notable figures in politics, literature, and the arts across the Spanish-speaking world.
  • D. Montúfar
    Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
  • E. Oteiza
    Oteiza is a Basque surname most notably associated with the Spanish sculptor and artist Jorge Oteiza.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5c5e027881908f610f5bab7598d4 completed April 14, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb672c08081908e1ff9030745776a completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:21 p.m.