Triple

T5182668
Position Surface form Disambiguated ID Type / Status
Subject Úrsula Corberó E116957 entity
Predicate familyName P18 FINISHED
Object Corberó
Corberó is a Spanish surname most notably associated with actress Úrsula Corberó, known internationally for her role in the series "Money Heist" (La Casa de Papel).
 E499984 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: Corberó | Statement: [Úrsula Corberó, familyName, Corberó]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Corberó
Context triple: [Úrsula Corberó, familyName, Corberó]
  • A. Gironella
    Gironella is a small municipality in Catalonia, Spain, known for its historic textile industry and location along the Llobregat River.
  • B. Noguera Pallaresa
    Noguera Pallaresa is a river in the Catalan Pyrenees of northeastern Spain, renowned for its whitewater rafting and kayaking.
  • C. Santpedor
    Santpedor is a small town in Catalonia, Spain, best known internationally as the birthplace of football manager Pep Guardiola.
  • D. Garriga
    Garriga is a Spanish surname most notably borne by Ignacio Garriga, a contemporary Spanish politician.
  • E. Corbera d'Ebre
    Corbera d'Ebre is a municipality in Catalonia, Spain, known for its preserved Spanish Civil War ruins and historical significance.
  • 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: Corberó
Triple: [Úrsula Corberó, familyName, Corberó]
Generated description
Corberó is a Spanish surname most notably associated with actress Úrsula Corberó, known internationally for her role in the series "Money Heist" (La Casa de Papel).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Corberó
Target entity description: Corberó is a Spanish surname most notably associated with actress Úrsula Corberó, known internationally for her role in the series "Money Heist" (La Casa de Papel).
  • A. Gironella
    Gironella is a small municipality in Catalonia, Spain, known for its historic textile industry and location along the Llobregat River.
  • B. Noguera Pallaresa
    Noguera Pallaresa is a river in the Catalan Pyrenees of northeastern Spain, renowned for its whitewater rafting and kayaking.
  • C. Santpedor
    Santpedor is a small town in Catalonia, Spain, best known internationally as the birthplace of football manager Pep Guardiola.
  • D. Garriga
    Garriga is a Spanish surname most notably borne by Ignacio Garriga, a contemporary Spanish politician.
  • E. Corbera d'Ebre
    Corbera d'Ebre is a municipality in Catalonia, Spain, known for its preserved Spanish Civil War ruins and historical significance.
  • 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_69bd446140f08190becb93c61158f27f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd799d50388190bf2b7dfdd90949e9 completed March 20, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed95b2900819082b534e27484171e completed March 21, 2026, 5:46 p.m.
NEDg Description generation batch_69bedb18aed481908f75994eff2468f7 completed March 21, 2026, 5:53 p.m.
NED2 Entity disambiguation (via description) batch_69bedb729f2c819092a0b7195809538f completed March 21, 2026, 5:54 p.m.
Created at: March 20, 2026, 1:46 p.m.