Triple

T7609119
Position Surface form Disambiguated ID Type / Status
Subject Walther E172186 entity
Predicate hasCognate P2525 FINISHED
Object Gutierre
Gutierre is a Spanish given name, historically used in medieval Iberia and related to names like Walter.
 E679287 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: Gutierre | Statement: [Walther, hasCognate, Gutierre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gutierre
Context triple: [Walther, hasCognate, Gutierre]
  • A. Gaspar
    Gaspar is the given name of Gaspar de Guzmán, Count-Duke of Olivares, a powerful 17th-century Spanish royal favorite and statesman under King Philip IV.
  • B. Guillermo
    Guillermo is the Spanish form of the given name William, commonly used in Spanish-speaking countries.
  • C. Graciano
    Graciano is a dark-skinned Spanish wine grape variety known for producing deeply colored, aromatic, and age-worthy red wines, particularly in blends from regions like Rioja.
  • D. Ramiro
    Ramiro is a masculine given name of Spanish and Portuguese origin, historically borne by several medieval kings and nobles in the Iberian Peninsula.
  • E. Bernabé
    Bernabé is the Spanish given name of former New York Yankees All-Star center fielder Bernie Williams.
  • 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: Gutierre
Triple: [Walther, hasCognate, Gutierre]
Generated description
Gutierre is a Spanish given name, historically used in medieval Iberia and related to names like Walter.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gutierre
Target entity description: Gutierre is a Spanish given name, historically used in medieval Iberia and related to names like Walter.
  • A. Gaspar
    Gaspar is the given name of Gaspar de Guzmán, Count-Duke of Olivares, a powerful 17th-century Spanish royal favorite and statesman under King Philip IV.
  • B. Guillermo
    Guillermo is the Spanish form of the given name William, commonly used in Spanish-speaking countries.
  • C. Graciano
    Graciano is a dark-skinned Spanish wine grape variety known for producing deeply colored, aromatic, and age-worthy red wines, particularly in blends from regions like Rioja.
  • D. Ramiro
    Ramiro is a masculine given name of Spanish and Portuguese origin, historically borne by several medieval kings and nobles in the Iberian Peninsula.
  • E. Bernabé
    Bernabé is the Spanish given name of former New York Yankees All-Star center fielder Bernie Williams.
  • 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_69c6994f50808190ba228764bb422417 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa1f6e888190ac6580724803fbc3 completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89a9dd42c8190bd03e960ebad8df9 completed March 29, 2026, 3:21 a.m.
NEDg Description generation batch_69c89b5b42dc8190972569b510d2efcd completed March 29, 2026, 3:24 a.m.
NED2 Entity disambiguation (via description) batch_69c89c56d9688190bd14badc319f9c44 completed March 29, 2026, 3:28 a.m.
Created at: March 27, 2026, 3:54 p.m.