Triple

T1532099
Position Surface form Disambiguated ID Type / Status
Subject Cuauhtémoc Blanco E32465 entity
Predicate familyName P18 FINISHED
Object Blanco
Blanco is a Spanish-language surname most notably associated with Mexican football legend and politician Cuauhtémoc Blanco.
 E173667 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: Blanco | Statement: [Cuauhtémoc Blanco, familyName, Blanco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Blanco
Context triple: [Cuauhtémoc Blanco, familyName, Blanco]
  • A. Blanc
    Blanc is the surname of Mel Blanc, the legendary American voice actor best known for bringing to life many iconic Looney Tunes characters.
  • B. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • C. White Elster
    White Elster is a river in central Europe that flows through parts of Germany, including the city of Gera, before joining the Saale River.
  • D. Redon
    Redon is a French surname most notably associated with the Symbolist painter and printmaker Odilon Redon.
  • E. Maino
    Maino is an Italian surname most notably associated with Sonia Gandhi, the former president of the Indian National Congress.
  • 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: Blanco
Triple: [Cuauhtémoc Blanco, familyName, Blanco]
Generated description
Blanco is a Spanish-language surname most notably associated with Mexican football legend and politician Cuauhtémoc Blanco.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Blanco
Target entity description: Blanco is a Spanish-language surname most notably associated with Mexican football legend and politician Cuauhtémoc Blanco.
  • A. Blanc
    Blanc is the surname of Mel Blanc, the legendary American voice actor best known for bringing to life many iconic Looney Tunes characters.
  • B. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • C. White Elster
    White Elster is a river in central Europe that flows through parts of Germany, including the city of Gera, before joining the Saale River.
  • D. Redon
    Redon is a French surname most notably associated with the Symbolist painter and printmaker Odilon Redon.
  • E. Maino
    Maino is an Italian surname most notably associated with Sonia Gandhi, the former president of the Indian National Congress.
  • 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_69a885ea86308190998f6bc14bb91f8e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90816b5e88190aa92a8558e35744b completed March 5, 2026, 4:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad295a03d881909071fb437c2d19ba completed March 8, 2026, 7:46 a.m.
NEDg Description generation batch_69ad2a18a79c81908f04ba9aa55d52a0 completed March 8, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_69ad2a8deae8819095731fdd1b4bd310 completed March 8, 2026, 7:51 a.m.
Created at: March 4, 2026, 7:26 p.m.