Triple

T1282319
Position Surface form Disambiguated ID Type / Status
Subject Johann E27352 entity
Predicate hasCognate P2525 FINISHED
Object Juan
Juan is a common Spanish given name, equivalent to "John" in English and widely used across the Spanish-speaking world.
 E189744 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: Juan | Statement: [Johann, hasCognate, Juan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Juan
Context triple: [Johann, hasCognate, Juan]
  • A. Juan
    Juan Soto is a Dominican professional baseball outfielder widely regarded as one of the best hitters of his generation in Major League Baseball.
  • B. Juan
    Juan is the given name of Juan Sebastián Elcano, the Spanish explorer who completed the first circumnavigation of the Earth.
  • C. Luis
    Luis is the Spanish given name of Louis I of Spain, an 18th-century Bourbon king who briefly ruled the country.
  • D. Jorge
    Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
  • E. José
    José is the given first name of Major League Baseball manager and former player Alex Cora.
  • 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: Juan
Triple: [Johann, hasCognate, Juan]
Generated description
Juan is a common Spanish given name, equivalent to "John" in English and widely used across the Spanish-speaking world.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Juan
Target entity description: Juan is a common Spanish given name, equivalent to "John" in English and widely used across the Spanish-speaking world.
  • A. Juan
    Juan Soto is a Dominican professional baseball outfielder widely regarded as one of the best hitters of his generation in Major League Baseball.
  • B. Juan
    Juan is the given name of Juan Sebastián Elcano, the Spanish explorer who completed the first circumnavigation of the Earth.
  • C. Luis
    Luis is the Spanish given name of Louis I of Spain, an 18th-century Bourbon king who briefly ruled the country.
  • D. Jorge
    Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
  • E. José
    José is the given first name of Major League Baseball manager and former player Alex Cora.
  • 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_69a496d3710c8190955dee8bc0dacb50 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0b47be08190828a1c0a11d94ce8 completed March 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad718af9a08190b16c7df72d1ef1d3 completed March 8, 2026, 12:54 p.m.
NEDg Description generation batch_69ad73705bd081909c021e55f7c1882b completed March 8, 2026, 1:02 p.m.
NED2 Entity disambiguation (via description) batch_69ad73d9746c8190b6d673bdb8c202d3 completed March 8, 2026, 1:04 p.m.
Created at: March 1, 2026, 7:50 p.m.