Triple

T2780542
Position Surface form Disambiguated ID Type / Status
Subject Abelardo L. Rodríguez E61681 entity
Predicate givenName P17 FINISHED
Object Abelardo
Abelardo is a masculine given name of Spanish origin, commonly used in Spanish-speaking countries.
 E298169 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: Abelardo | Statement: [Abelardo L. Rodríguez, givenName, Abelardo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Abelardo
Context triple: [Abelardo L. Rodríguez, givenName, Abelardo]
  • A. Calixto
    Calixto is a masculine given name of Spanish origin, historically borne by several notable Latin American figures.
  • B. Hipólito de Villegas
    Hipólito de Villegas was a Chilean lawyer and politician who played a key role in the country’s early independence movement and institutional formation.
  • C. Gregorio
    Gregorio is a masculine given name of Latin origin, commonly used in Spanish and Italian-speaking cultures and derived from the name Gregory.
  • D. Buenaventura de Abarzuza
    Buenaventura de Abarzuza was a Spanish diplomat and politician who notably served as Spain’s representative in key late 19th-century international negotiations.
  • E. Baltasar
    Baltasar is a variant of the name Belshazzar, historically associated with the last king of Babylon mentioned in the biblical Book of Daniel.
  • 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: Abelardo
Triple: [Abelardo L. Rodríguez, givenName, Abelardo]
Generated description
Abelardo is a masculine given name of Spanish origin, commonly used in Spanish-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Abelardo
Target entity description: Abelardo is a masculine given name of Spanish origin, commonly used in Spanish-speaking countries.
  • A. Calixto
    Calixto is a masculine given name of Spanish origin, historically borne by several notable Latin American figures.
  • B. Hipólito de Villegas
    Hipólito de Villegas was a Chilean lawyer and politician who played a key role in the country’s early independence movement and institutional formation.
  • C. Gregorio
    Gregorio is a masculine given name of Latin origin, commonly used in Spanish and Italian-speaking cultures and derived from the name Gregory.
  • D. Buenaventura de Abarzuza
    Buenaventura de Abarzuza was a Spanish diplomat and politician who notably served as Spain’s representative in key late 19th-century international negotiations.
  • E. Baltasar
    Baltasar is a variant of the name Belshazzar, historically associated with the last king of Babylon mentioned in the biblical Book of Daniel.
  • 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_69ab4b7e43c48190997b8fc8fb1663ab completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd997ebc8190bff88fe549827615 completed March 7, 2026, 8:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc05cf84881908e771471dbda4c8d completed March 10, 2026, 6:55 a.m.
NEDg Description generation batch_69afc1f3741c8190a806f8cc14fc6334 completed March 10, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69afc24c63188190a51f5ae9f2955f0a completed March 10, 2026, 7:03 a.m.
Created at: March 6, 2026, 9:57 p.m.