Triple

T7316130
Position Surface form Disambiguated ID Type / Status
Subject Camilo Torres Tenorio E168416 entity
Predicate familyName P18 FINISHED
Object Torres
Torres is a common Spanish surname borne by numerous notable figures across the Spanish-speaking world.
 E657102 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: Torres | Statement: [Camilo Torres Tenorio, familyName, Torres]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Torres
Context triple: [Camilo Torres Tenorio, familyName, Torres]
  • A. Sanchez
    Sanchez is a common Spanish-origin surname borne by numerous notable individuals across sports, politics, arts, and other fields.
  • B. Carvajal
    Carvajal is a Spanish surname of likely toponymic origin, borne by various notable figures in Spanish and Latin American history.
  • C. Ramos
    Ramos is a municipality in the Philippine province of Tarlac known for its predominantly agricultural economy and rural communities.
  • D. Valverde
    Valverde is the small administrative and population center of El Hierro in Spain’s Canary Islands, known for its hillside setting and traditional island character.
  • E. Álvaro
    Álvaro is a masculine given name of Spanish origin commonly used in Spain and Latin America.
  • 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: Torres
Triple: [Camilo Torres Tenorio, familyName, Torres]
Generated description
Torres is a common Spanish surname borne by numerous notable figures across the Spanish-speaking world.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Torres
Target entity description: Torres is a common Spanish surname borne by numerous notable figures across the Spanish-speaking world.
  • A. Sanchez
    Sanchez is a common Spanish-origin surname borne by numerous notable individuals across sports, politics, arts, and other fields.
  • B. Carvajal
    Carvajal is a Spanish surname of likely toponymic origin, borne by various notable figures in Spanish and Latin American history.
  • C. Ramos
    Ramos is a municipality in the Philippine province of Tarlac known for its predominantly agricultural economy and rural communities.
  • D. Valverde
    Valverde is the small administrative and population center of El Hierro in Spain’s Canary Islands, known for its hillside setting and traditional island character.
  • E. Álvaro
    Álvaro is a masculine given name of Spanish origin commonly used in Spain and Latin America.
  • 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_69c68a5251508190ad68df4151cfeb04 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6ef162d488190bf1c63b71b20a294 completed March 27, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7eef3b1c48190ae65a136121b39cb completed March 28, 2026, 3:08 p.m.
NEDg Description generation batch_69c7ef95787c819086684c4286166b43 completed March 28, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69c7f0644ebc8190971075d75e3a76d0 completed March 28, 2026, 3:14 p.m.
Created at: March 27, 2026, 3:02 p.m.