Triple

T1883584
Position Surface form Disambiguated ID Type / Status
Subject Martínez E39908 entity
Predicate orthographicNote P12752 FINISHED
Object often written without accent as Martinez in English contexts E39908 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: often written without accent as Martinez in English contexts | Statement: [Martínez, orthographicNote, often written without accent as Martinez in English contexts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: often written without accent as Martinez in English contexts
Context triple: [Martínez, orthographicNote, often written without accent as Martinez in English contexts]
  • A. Martínez chosen
    Martínez is a common Spanish-language surname widely borne across Spain and Latin America.
  • B. Ana Martínez
    Ana Martínez is known as the romantic partner of Chilean footballer Diego de Almagro.
  • C. Hernández
    Hernández is a common Spanish surname borne by numerous notable figures across sports, arts, and public life.
  • D. García
    García is a common Spanish surname borne by numerous notable figures across the Spanish-speaking world.
  • E. Sosa
    Sosa is a Spanish-origin surname most famously associated with former Major League Baseball slugger Sammy Sosa.
  • 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_69a88633e4fc8190b7eb40463e048ec5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb11d3cd48190bbd3ef2cf62e0dff completed March 7, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf5eabd8819089f267db92993033 completed March 8, 2026, 8:43 p.m.
Created at: March 4, 2026, 7:34 p.m.