Triple

T19279989
Position Surface form Disambiguated ID Type / Status
Subject José Antonio Galán E482161 entity
Predicate familyName P18 FINISHED
Object Galán
Galán is a Spanish surname borne by numerous notable figures in politics, arts, and sports across the Spanish-speaking world.
 E1367230 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: Galán | Statement: [José Antonio Galán, familyName, Galán]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Galán
Context triple: [José Antonio Galán, familyName, Galán]
  • A. Froilán
    Froilán is a Spanish royal family member, the grandson of former King Juan Carlos I and nephew of King Felipe VI of Spain.
  • B. Maragall
    Maragall is a Barcelona Metro station that serves as an interchange point between multiple lines in the city’s public transit network.
  • C. Blasco
    Blasco is a masculine given name of Spanish origin, historically borne by notable figures such as colonial administrators and writers.
  • D. Rollán
    Rollán is the Spanish family name of actress Maribel Verdú, known for her prominent roles in Spanish and international cinema.
  • E. Íñigo
    Íñigo is the Basque given name of Ignatius of Loyola, the 16th-century Spanish priest who founded the Society of Jesus (Jesuits).
  • 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: Galán
Triple: [José Antonio Galán, familyName, Galán]
Generated description
Galán is a Spanish surname borne by numerous notable figures in politics, arts, and sports across the Spanish-speaking world.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Galán
Target entity description: Galán is a Spanish surname borne by numerous notable figures in politics, arts, and sports across the Spanish-speaking world.
  • A. Froilán
    Froilán is a Spanish royal family member, the grandson of former King Juan Carlos I and nephew of King Felipe VI of Spain.
  • B. Maragall
    Maragall is a Barcelona Metro station that serves as an interchange point between multiple lines in the city’s public transit network.
  • C. Blasco
    Blasco is a masculine given name of Spanish origin, historically borne by notable figures such as colonial administrators and writers.
  • D. Rollán
    Rollán is the Spanish family name of actress Maribel Verdú, known for her prominent roles in Spanish and international cinema.
  • E. Íñigo
    Íñigo is the Basque given name of Ignatius of Loyola, the 16th-century Spanish priest who founded the Society of Jesus (Jesuits).
  • 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbfdfaf481909e0434f33053cc62 completed April 20, 2026, 10:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a070e7ba04481908e8b707d34028e58 completed May 15, 2026, 12:15 p.m.
NEDg Description generation batch_6a070f74709481909b4eb1c073db2134 completed May 15, 2026, 12:20 p.m.
NED2 Entity disambiguation (via description) batch_6a070fccff7c819083fe388dda8e4e5a completed May 15, 2026, 12:21 p.m.
Created at: April 10, 2026, 1:30 p.m.