Triple

T9802733
Position Surface form Disambiguated ID Type / Status
Subject Paz Vega E237879 entity
Predicate familyName P18 FINISHED
Object Campos Trigo
Campos Trigo is the birth surname of Spanish actress Paz Vega, reflecting her family heritage.
 E821830 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: Campos Trigo | Statement: [Paz Vega, familyName, Campos Trigo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Campos Trigo
Context triple: [Paz Vega, familyName, Campos Trigo]
  • A. Pastos
    Pastos is a city in southwestern Colombia known as a historic Andean settlement and regional cultural center.
  • B. Campos
    Campos is a rural municipality and town in the southeast of Mallorca, Spain, known for its traditional agriculture and proximity to some of the island’s most famous beaches.
  • C. Graneros
    Graneros is a Chilean city located in the agricultural Cachapoal Valley of the O'Higgins Region, known for its farming activities and proximity to the regional capital, Rancagua.
  • D. Cruzcampo
    Cruzcampo is a popular Spanish beer brand known for its Andalusian origins and wide distribution throughout Spain.
  • E. Tierra de Campos
    Tierra de Campos is a vast, historically agricultural plain in northwestern Spain known for its cereal fields, traditional villages, and characteristic flat landscapes.
  • 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: Campos Trigo
Triple: [Paz Vega, familyName, Campos Trigo]
Generated description
Campos Trigo is the birth surname of Spanish actress Paz Vega, reflecting her family heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Campos Trigo
Target entity description: Campos Trigo is the birth surname of Spanish actress Paz Vega, reflecting her family heritage.
  • A. Pastos
    Pastos is a city in southwestern Colombia known as a historic Andean settlement and regional cultural center.
  • B. Campos
    Campos is a rural municipality and town in the southeast of Mallorca, Spain, known for its traditional agriculture and proximity to some of the island’s most famous beaches.
  • C. Graneros
    Graneros is a Chilean city located in the agricultural Cachapoal Valley of the O'Higgins Region, known for its farming activities and proximity to the regional capital, Rancagua.
  • D. Cruzcampo
    Cruzcampo is a popular Spanish beer brand known for its Andalusian origins and wide distribution throughout Spain.
  • E. Tierra de Campos
    Tierra de Campos is a vast, historically agricultural plain in northwestern Spain known for its cereal fields, traditional villages, and characteristic flat landscapes.
  • 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_69ca84dd4608819097ff4ed00feca280 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda62b41048190bcef70a7591830c6 completed April 1, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c44edac48190a44fdfb858d0dbba completed April 5, 2026, 2:09 a.m.
NEDg Description generation batch_69d1c50af000819087d643cc41a6fcc8 completed April 5, 2026, 2:12 a.m.
NED2 Entity disambiguation (via description) batch_69d1c5d39b288190b276371591a86399 completed April 5, 2026, 2:15 a.m.
Created at: March 30, 2026, 8:29 p.m.