Triple

T19539253
Position Surface form Disambiguated ID Type / Status
Subject Pérez Pavón E488851 entity
Predicate hasComponent P35 FINISHED
Object Pavón
Pavón is a Spanish surname commonly found in the Hispanic world and borne by various notable individuals in fields such as sports, politics, and the arts.
 E1382315 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: Pavón | Statement: [Pérez Pavón, hasComponent, Pavón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pavón
Context triple: [Pérez Pavón, hasComponent, Pavón]
  • A. Pavones
    Pavones is a residential neighborhood in the Moratalaz district of Madrid, Spain.
  • B. Pavo
    Pavo is a genus of large, colorful birds in the pheasant family that includes the well-known peafowls.
  • C. Pavo
    Pavo is a small southern constellation named after the peacock, notable for its bright blue star Peacock (Alpha Pavonis) and rich fields of star clusters.
  • D. Pájara
    Pájara is a coastal municipality on the southwestern part of Fuerteventura in Spain’s Canary Islands, known for its extensive beaches and tourist resorts such as Costa Calma and Morro Jable.
  • E. Sucúa
    Sucúa is a small town in the Amazonian region of Ecuador known for its lush rainforest surroundings and indigenous Shuar culture.
  • 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: Pavón
Triple: [Pérez Pavón, hasComponent, Pavón]
Generated description
Pavón is a Spanish surname commonly found in the Hispanic world and borne by various notable individuals in fields such as sports, politics, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pavón
Target entity description: Pavón is a Spanish surname commonly found in the Hispanic world and borne by various notable individuals in fields such as sports, politics, and the arts.
  • A. Pavones
    Pavones is a residential neighborhood in the Moratalaz district of Madrid, Spain.
  • B. Pavo
    Pavo is a small southern constellation named after the peacock, notable for its bright blue star Peacock (Alpha Pavonis) and rich fields of star clusters.
  • C. Pavo
    Pavo is a genus of large, colorful birds in the pheasant family that includes the well-known peafowls.
  • D. Pájara
    Pájara is a coastal municipality on the southwestern part of Fuerteventura in Spain’s Canary Islands, known for its extensive beaches and tourist resorts such as Costa Calma and Morro Jable.
  • E. Sucúa
    Sucúa is a small town in the Amazonian region of Ecuador known for its lush rainforest surroundings and indigenous Shuar culture.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e638710b8c81908335535869fc9130 completed April 20, 2026, 2:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a074e814c2c81909c9203461b8378b6 completed May 15, 2026, 4:49 p.m.
NEDg Description generation batch_6a074ffa3da48190badea6039822ddd6 completed May 15, 2026, 4:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0750cfe42481909bf83cc488bcbae8 completed May 15, 2026, 4:58 p.m.
Created at: April 10, 2026, 1:41 p.m.