Triple

T1284245
Position Surface form Disambiguated ID Type / Status
Subject Guillermo Ramírez E27397 entity
Predicate familyName P18 FINISHED
Object Ramírez E113492 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: Ramírez | Statement: [Guillermo Ramírez, familyName, Ramírez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ramírez
Context triple: [Guillermo Ramírez, familyName, Ramírez]
  • A. Ramírez chosen
    Ramírez is a Spanish-language surname commonly associated with people of Hispanic origin, including notable figures in sports, arts, and public life.
  • B. Guillermo Ramírez
    Guillermo Ramírez is a Guatemalan former professional footballer best known for scoring the extra-time winning goal in the 2005 MLS Cup final for the Los Angeles Galaxy.
  • C. Cabrera
    Cabrera is a small, sparsely populated island and national park in the Mediterranean Sea, known for its unspoiled natural landscapes and rich marine biodiversity.
  • D. Ruiz
    Ruiz is a common Spanish-language surname borne by many notable individuals across sports, arts, and public life.
  • E. Rodriguez
    Rodriguez is a common Spanish-origin surname widely borne across the Spanish-speaking world and beyond.
  • 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_69a496d4ec448190ad653b2590c46711 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0b599ac819096fca9ada294d939 completed March 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69aca2fdb3ac81909bc836e2a655130c completed March 7, 2026, 10:13 p.m.
Created at: March 1, 2026, 7:50 p.m.