Triple

T3627025
Position Surface form Disambiguated ID Type / Status
Subject Guillermo Lasso E76863 entity
Predicate familyName P18 FINISHED
Object Lasso
Lasso is a Spanish-language surname of likely Basque origin, borne by various notable individuals in politics, arts, and other fields.
 E374452 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: Lasso | Statement: [Guillermo Lasso, familyName, Lasso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lasso
Context triple: [Guillermo Lasso, familyName, Lasso]
  • A. Loscutoff
    Loscutoff is the surname of former Boston Celtics forward Jim Loscutoff, whose number 18 was retired by the team in his honor.
  • B. Lakki
    Lakki is a coastal town and main port on the Greek island of Leros in the Dodecanese.
  • C. Lunice
    Lunice is a Canadian electronic music producer and DJ known for his innovative trap-influenced beats and as one half of the duo TNGHT.
  • D. Lys
    The Lys is a river in northern France and western Belgium that flows through cities like Ghent and is known for its historical role in trade and the textile industry.
  • E. Lys
    Lys is a wealthy and decadent island city-state in the world of *A Song of Ice and Fire* known for its pleasure houses, skilled courtesans, and distinctive Valyrian-descended population.
  • 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: Lasso
Triple: [Guillermo Lasso, familyName, Lasso]
Generated description
Lasso is a Spanish-language surname of likely Basque origin, borne by various notable individuals in politics, arts, and other fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lasso
Target entity description: Lasso is a Spanish-language surname of likely Basque origin, borne by various notable individuals in politics, arts, and other fields.
  • A. Loscutoff
    Loscutoff is the surname of former Boston Celtics forward Jim Loscutoff, whose number 18 was retired by the team in his honor.
  • B. Lakki
    Lakki is a coastal town and main port on the Greek island of Leros in the Dodecanese.
  • C. Lunice
    Lunice is a Canadian electronic music producer and DJ known for his innovative trap-influenced beats and as one half of the duo TNGHT.
  • D. Lys
    The Lys is a river in northern France and western Belgium that flows through cities like Ghent and is known for its historical role in trade and the textile industry.
  • E. Lys
    Lys is a wealthy and decadent island city-state in the world of *A Song of Ice and Fire* known for its pleasure houses, skilled courtesans, and distinctive Valyrian-descended population.
  • 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_69ad85dc03948190b35b7189e4175bcc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2dc011c8190a6596f4b483fb078 completed March 8, 2026, 6:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b433270ddc81908080698604009737 completed March 13, 2026, 3:54 p.m.
NEDg Description generation batch_69b436f57b2c8190b010197b01859980 completed March 13, 2026, 4:10 p.m.
NED2 Entity disambiguation (via description) batch_69b437493384819084a7213fe754526b completed March 13, 2026, 4:11 p.m.
Created at: March 8, 2026, 3:23 p.m.