Triple

T1557670
Position Surface form Disambiguated ID Type / Status
Subject Hugo Sánchez E33246 entity
Predicate familyName P18 FINISHED
Object Sánchez
Sánchez is a common Spanish-language surname borne by numerous notable figures across sports, politics, arts, and other fields.
 E178883 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: Sánchez | Statement: [Hugo Sánchez, familyName, Sánchez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sánchez
Context triple: [Hugo Sánchez, familyName, Sánchez]
  • A. Pedro Sánchez
    Pedro Sánchez is a Spanish politician who has served as Prime Minister and leader of the Spanish Socialist Workers' Party (PSOE).
  • B. Pablo Iglesias
    Pablo Iglesias is a Spanish political scientist and politician best known as a co-founder and former leader of the left-wing party Podemos.
  • C. Garzón
    Garzón is a municipality and town in south-central Colombia known as an agricultural center within the Huila Department.
  • D. Santiago Abascal
    Santiago Abascal is a Spanish politician best known as the leader and co-founder of the right-wing populist party Vox.
  • E. Fernández
    Fernández is a common Spanish-language surname widely used across Spain and Latin America.
  • 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: Sánchez
Triple: [Hugo Sánchez, familyName, Sánchez]
Generated description
Sánchez is a common Spanish-language surname borne by numerous notable figures across sports, politics, arts, and other fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sánchez
Target entity description: Sánchez is a common Spanish-language surname borne by numerous notable figures across sports, politics, arts, and other fields.
  • A. Pedro Sánchez
    Pedro Sánchez is a Spanish politician who has served as Prime Minister and leader of the Spanish Socialist Workers' Party (PSOE).
  • B. Pablo Iglesias
    Pablo Iglesias is a Spanish political scientist and politician best known as a co-founder and former leader of the left-wing party Podemos.
  • C. Garzón
    Garzón is a municipality and town in south-central Colombia known as an agricultural center within the Huila Department.
  • D. Santiago Abascal
    Santiago Abascal is a Spanish politician best known as the leader and co-founder of the right-wing populist party Vox.
  • E. Fernández
    Fernández is a common Spanish-language surname widely used across Spain and Latin America.
  • 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_69a885ef9cf48190b0af0f5ce3d02231 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9088355048190adad5ea2bb558d13 completed March 5, 2026, 4:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad401e12088190b6f0f5b0d8a423cf completed March 8, 2026, 9:23 a.m.
NEDg Description generation batch_69ad40f485e481909e801cdd3da3c27b completed March 8, 2026, 9:27 a.m.
NED2 Entity disambiguation (via description) batch_69ad415932f4819083639af0e0836345 completed March 8, 2026, 9:28 a.m.
Created at: March 4, 2026, 7:27 p.m.