Triple

T8836950
Position Surface form Disambiguated ID Type / Status
Subject Alfonso de Galarreta E210288 entity
Predicate familyName P18 FINISHED
Object de Galarreta
de Galarreta is a Spanish Basque surname associated with figures such as traditionalist Catholic bishop Alfonso de Galarreta.
 E761533 NE FINISHED

How this triple was built (4 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: de Galarreta | Statement: [Alfonso de Galarreta, familyName, de Galarreta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: de Galarreta
Context triple: [Alfonso de Galarreta, familyName, de Galarreta]
  • A. Aramburu
    Aramburu is a Spanish-language surname of Basque origin borne by various notable figures in politics, religion, and sports.
  • B. Zorreguieta
    Zorreguieta is an Argentine family name best known as the maiden surname of Queen Máxima of the Netherlands.
  • C. Goenkale
    Goenkale is a long-running Basque-language television soap opera that became one of the most iconic and influential series in Basque regional broadcasting.
  • D. Balazote
    Balazote is a municipality in the province of Albacete, Spain, known for its archaeological heritage and rural Castilian-La Mancha setting.
  • E. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: de Galarreta
Triple: [Alfonso de Galarreta, familyName, de Galarreta]
Generated description
de Galarreta is a Spanish Basque surname associated with figures such as traditionalist Catholic bishop Alfonso de Galarreta.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: de Galarreta
Target entity description: de Galarreta is a Spanish Basque surname associated with figures such as traditionalist Catholic bishop Alfonso de Galarreta.
  • A. Aramburu
    Aramburu is a Spanish-language surname of Basque origin borne by various notable figures in politics, religion, and sports.
  • B. Zorreguieta
    Zorreguieta is an Argentine family name best known as the maiden surname of Queen Máxima of the Netherlands.
  • C. Goenkale
    Goenkale is a long-running Basque-language television soap opera that became one of the most iconic and influential series in Basque regional broadcasting.
  • D. Balazote
    Balazote is a municipality in the province of Albacete, Spain, known for its archaeological heritage and rural Castilian-La Mancha setting.
  • E. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • F. None of above. chosen

Provenance (5 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_69ca8388549c819095fd94eadefbb007 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc606adde08190825dbdabd199c025 completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf898a478c81908f138a78f331b87d completed April 3, 2026, 9:34 a.m.
NEDg Description generation batch_69cf8d66cb5081908efaa1d96829ebe8 completed April 3, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69cf8defb0508190b2341ba8e79da2af completed April 3, 2026, 9:52 a.m.
Created at: March 30, 2026, 6:47 p.m.