Triple

T17682394
Position Surface form Disambiguated ID Type / Status
Subject Pablo Casado E440801 entity
Predicate familyName P18 FINISHED
Object Casado
Casado is a Spanish surname most prominently associated with Pablo Casado, a contemporary Spanish politician and former leader of the People's Party.
E1281927 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: Casado | Statement: [Pablo Casado, familyName, Casado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Casado
Context triple: [Pablo Casado, familyName, Casado]
  • A. Married
    Married is an American television comedy series that explores the challenges and humor of long-term relationships and family life.
  • B. Many Marriages
    Many Marriages is a 1923 novel by American author Sherwood Anderson that explores themes of love, sexuality, and personal liberation in small-town Midwestern life.
  • C. Marié
    Marié is a given name variant of Marie, commonly used in French and other Romance-language contexts.
  • D. The Young Spouses
    The Young Spouses is a lesser-known comedic play by Russian diplomat and playwright Alexander Griboyedov, reflecting his satirical style and social observation.
  • E. Married Life
    Married Life is a 2007 period drama film about a middle-aged man's plan to murder his wife after falling in love with another woman, blending dark humor with themes of love, betrayal, and moral ambiguity.
  • 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: Casado
Triple: [Pablo Casado, familyName, Casado]
Generated description
Casado is a Spanish surname most prominently associated with Pablo Casado, a contemporary Spanish politician and former leader of the People's Party.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Casado
Target entity description: Casado is a Spanish surname most prominently associated with Pablo Casado, a contemporary Spanish politician and former leader of the People's Party.
  • A. Married
    Married is an American television comedy series that explores the challenges and humor of long-term relationships and family life.
  • B. Many Marriages
    Many Marriages is a 1923 novel by American author Sherwood Anderson that explores themes of love, sexuality, and personal liberation in small-town Midwestern life.
  • C. Marié
    Marié is a given name variant of Marie, commonly used in French and other Romance-language contexts.
  • D. The Young Spouses
    The Young Spouses is a lesser-known comedic play by Russian diplomat and playwright Alexander Griboyedov, reflecting his satirical style and social observation.
  • E. Married Life
    Married Life is a 2007 period drama film about a middle-aged man's plan to murder his wife after falling in love with another woman, blending dark humor with themes of love, betrayal, and moral ambiguity.
  • 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4704514d481908aad4172fa930e6b completed April 19, 2026, 6:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02232a4d488190b43226ba2f34e7c0 completed May 11, 2026, 6:42 p.m.
NEDg Description generation batch_6a022446c9d881908ffd0f48e06f5c0e completed May 11, 2026, 6:47 p.m.
NED2 Entity disambiguation (via description) batch_6a0224b3b33881909190dbb5752c758d completed May 11, 2026, 6:49 p.m.
Created at: April 10, 2026, 10:02 a.m.