Triple

T20007370
Position Surface form Disambiguated ID Type / Status
Subject Los hombres de Paco E494492 entity
Predicate mainCharacter P1183 FINISHED
Object Povedilla
Povedilla is a bumbling yet endearing police officer and one of the most beloved main characters in the Spanish television series "Los hombres de Paco."
 E1405990 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: Povedilla | Statement: [Los hombres de Paco, mainCharacter, Povedilla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Povedilla
Context triple: [Los hombres de Paco, mainCharacter, Povedilla]
  • A. Barraza
    Barraza is a Spanish-language surname most notably associated with Mexican actress and director Adriana Barraza.
  • B. Blanquillos
    Blanquillos is a popular nickname for the Spanish football club Real Zaragoza, referring to the team’s traditional white kit.
  • C. La Puntilla
    La Puntilla is an affluent urban parish in Ecuador known for its residential developments, shopping centers, and proximity to the city of Guayaquil.
  • D. Terriente
    Terriente is a small rural municipality located in the Sierra de Albarracín comarca of the province of Teruel in Aragon, Spain.
  • E. Polveriera Guzman
    Polveriera Guzman is a historic gunpowder magazine and military structure located in the coastal Tuscan town of Orbetello, Italy.
  • 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: Povedilla
Triple: [Los hombres de Paco, mainCharacter, Povedilla]
Generated description
Povedilla is a bumbling yet endearing police officer and one of the most beloved main characters in the Spanish television series "Los hombres de Paco."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Povedilla
Target entity description: Povedilla is a bumbling yet endearing police officer and one of the most beloved main characters in the Spanish television series "Los hombres de Paco."
  • A. Barraza
    Barraza is a Spanish-language surname most notably associated with Mexican actress and director Adriana Barraza.
  • B. Blanquillos
    Blanquillos is a popular nickname for the Spanish football club Real Zaragoza, referring to the team’s traditional white kit.
  • C. La Puntilla
    La Puntilla is an affluent urban parish in Ecuador known for its residential developments, shopping centers, and proximity to the city of Guayaquil.
  • D. Terriente
    Terriente is a small rural municipality located in the Sierra de Albarracín comarca of the province of Teruel in Aragon, Spain.
  • E. Polveriera Guzman
    Polveriera Guzman is a historic gunpowder magazine and military structure located in the coastal Tuscan town of Orbetello, Italy.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e661a648a88190853ee741edcf6ca2 completed April 20, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08050fcc088190a839c529cda3f588 completed May 16, 2026, 5:47 a.m.
NEDg Description generation batch_6a08061f6aa08190a7c8b4fc55ea1400 completed May 16, 2026, 5:52 a.m.
NED2 Entity disambiguation (via description) batch_6a080706231c819081499808132fad82 completed May 16, 2026, 5:56 a.m.
Created at: April 11, 2026, 3:33 p.m.