Triple

T8137916
Position Surface form Disambiguated ID Type / Status
Subject Chaves E190017 entity
Predicate relatedTo P37 FINISHED
Object Cháves
Cháves is the Brazilian Portuguese title of the popular Mexican comedy television series "El Chavo del Ocho," centered on the misadventures of a poor boy living in a neighborhood courtyard.
 E714293 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: Cháves | Statement: [Chaves, relatedTo, Cháves]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cháves
Context triple: [Chaves, relatedTo, Cháves]
  • A. Balderas
    Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
  • B. Garza
    Garza is a Spanish-language surname of Basque origin that is common in Mexico and among people of Hispanic heritage.
  • C. Zavala
    Zavala is a coastal town in southern Mozambique’s Inhambane Province, known for its beaches and traditional Chopi music and dance.
  • D. Alvarito
    Alvarito is a Spanish diminutive form of the given name Álvaro, typically used as an affectionate nickname.
  • E. Baquero
    Baquero is a Spanish surname most notably associated with actress Ivana Baquero, known for her role in the film "Pan's Labyrinth."
  • 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: Cháves
Triple: [Chaves, relatedTo, Cháves]
Generated description
Cháves is the Brazilian Portuguese title of the popular Mexican comedy television series "El Chavo del Ocho," centered on the misadventures of a poor boy living in a neighborhood courtyard.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cháves
Target entity description: Cháves is the Brazilian Portuguese title of the popular Mexican comedy television series "El Chavo del Ocho," centered on the misadventures of a poor boy living in a neighborhood courtyard.
  • A. Balderas
    Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
  • B. Garza
    Garza is a Spanish-language surname of Basque origin that is common in Mexico and among people of Hispanic heritage.
  • C. Zavala
    Zavala is a coastal town in southern Mozambique’s Inhambane Province, known for its beaches and traditional Chopi music and dance.
  • D. Alvarito
    Alvarito is a Spanish diminutive form of the given name Álvaro, typically used as an affectionate nickname.
  • E. Baquero
    Baquero is a Spanish surname most notably associated with actress Ivana Baquero, known for her role in the film "Pan's Labyrinth."
  • 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_69ca82bd9900819099477cdc2eb4244f completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4402b35c81909363ffa9ce952ca4 completed March 31, 2026, 3:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc949d9c7c81908efb4880f9250166 completed April 1, 2026, 3:44 a.m.
NEDg Description generation batch_69cc9605b8248190a621ea934c58913d completed April 1, 2026, 3:50 a.m.
NED2 Entity disambiguation (via description) batch_69cc970cf55c8190abf432ac68d6bbc3 completed April 1, 2026, 3:54 a.m.
Created at: March 30, 2026, 5:35 p.m.