Triple

T18199710
Position Surface form Disambiguated ID Type / Status
Subject David (German) E435750 entity
Predicate sharesFormWith P5696 FINISHED
Object David (Spanish)
David (Spanish) is the Spanish-language version of the given name David, widely used across Spain and Latin America.
E1311809 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: David (Spanish) | Statement: [David (German), sharesFormWith, David (Spanish)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David (Spanish)
Context triple: [David (German), sharesFormWith, David (Spanish)]
  • A. Navarro-Aragonese
    Navarro-Aragonese is a medieval Romance language of the Iberian Peninsula, historically spoken in parts of Navarre and Aragon and known from early written records such as the Glosas Emilianenses.
  • B. Juan (Spanish)
    Juan is the Spanish given name equivalent to the English name John, widely used across Spanish-speaking countries.
  • C. Gallego
    Gallego is a Spanish surname commonly associated with people of Galician origin or ancestry.
  • D. Lo Spagna
    Lo Spagna was an Italian Renaissance painter associated with the Umbrian school, known for his religious works influenced by Perugino and Raphael.
  • E. القسطلاني
    القسطلاني هو عالم حديث شافعي مصري من القرن التاسع الهجري اشتهر بشرحه الموسوعي لصحيح البخاري وبتآليفه في الحديث والفقه والتصوف.
  • 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: David (Spanish)
Triple: [David (German), sharesFormWith, David (Spanish)]
Generated description
David (Spanish) is the Spanish-language version of the given name David, widely used across Spain and Latin America.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: David (Spanish)
Target entity description: David (Spanish) is the Spanish-language version of the given name David, widely used across Spain and Latin America.
  • A. Navarro-Aragonese
    Navarro-Aragonese is a medieval Romance language of the Iberian Peninsula, historically spoken in parts of Navarre and Aragon and known from early written records such as the Glosas Emilianenses.
  • B. Juan (Spanish)
    Juan is the Spanish given name equivalent to the English name John, widely used across Spanish-speaking countries.
  • C. Gallego
    Gallego is a Spanish surname commonly associated with people of Galician origin or ancestry.
  • D. Lo Spagna
    Lo Spagna was an Italian Renaissance painter associated with the Umbrian school, known for his religious works influenced by Perugino and Raphael.
  • E. القسطلاني
    القسطلاني هو عالم حديث شافعي مصري من القرن التاسع الهجري اشتهر بشرحه الموسوعي لصحيح البخاري وبتآليفه في الحديث والفقه والتصوف.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e0d610f88190b4f69b1c433ea6b1 completed April 19, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03980f600c819099f3fb14744f8afa completed May 12, 2026, 9:13 p.m.
NEDg Description generation batch_6a0398fb7fb481908a32c56a798d81fd completed May 12, 2026, 9:17 p.m.
NED2 Entity disambiguation (via description) batch_6a039a2b85888190bbcae1ba9d8ba715 completed May 12, 2026, 9:22 p.m.
Created at: April 10, 2026, 10:31 a.m.