Triple

T10899487
Position Surface form Disambiguated ID Type / Status
Subject Ernesto Galarza E257399 entity
Predicate familyName P18 FINISHED
Object Galarza
Galarza is a Spanish-language surname borne by various notable figures, including activists, scholars, and public personalities.
 E893312 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: Galarza | Statement: [Ernesto Galarza, familyName, Galarza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Galarza
Context triple: [Ernesto Galarza, familyName, Galarza]
  • A. Andalgalá
    Andalgalá is a town in northwestern Argentina known for its mining activities and scenic location in the foothills of the Andes within Catamarca Province.
  • B. Dainzú
    Dainzú is an ancient Zapotec archaeological site in Oaxaca, Mexico, notable for its terraced architecture and carved stone reliefs depicting ballgame scenes.
  • C. Gisondo
    Gisondo is an Italian-origin surname most notably borne by American actor Skyler Gisondo.
  • D. Dazaga
    Dazaga is a Saharan language spoken primarily by the Daza (Gorane) people across parts of Chad, Niger, Libya, and Sudan.
  • E. Báguanos
    Báguanos is a municipality in eastern Cuba located in the province of Holguín, known for its agricultural activities and rural communities.
  • 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: Galarza
Triple: [Ernesto Galarza, familyName, Galarza]
Generated description
Galarza is a Spanish-language surname borne by various notable figures, including activists, scholars, and public personalities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Galarza
Target entity description: Galarza is a Spanish-language surname borne by various notable figures, including activists, scholars, and public personalities.
  • A. Andalgalá
    Andalgalá is a town in northwestern Argentina known for its mining activities and scenic location in the foothills of the Andes within Catamarca Province.
  • B. Dainzú
    Dainzú is an ancient Zapotec archaeological site in Oaxaca, Mexico, notable for its terraced architecture and carved stone reliefs depicting ballgame scenes.
  • C. Gisondo
    Gisondo is an Italian-origin surname most notably borne by American actor Skyler Gisondo.
  • D. Dazaga
    Dazaga is a Saharan language spoken primarily by the Daza (Gorane) people across parts of Chad, Niger, Libya, and Sudan.
  • E. Báguanos
    Báguanos is a municipality in eastern Cuba located in the province of Holguín, known for its agricultural activities and rural communities.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d761a2392c8190bc2c2359d63eff7a completed April 9, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69e216b417bc8190b35477e9d363a289 completed April 17, 2026, 11:17 a.m.
NEDg Description generation batch_69e21d860d288190855ffbe60df50df9 completed April 17, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_69e21f09be508190a7c497a7680cb59e completed April 17, 2026, 11:52 a.m.
Created at: April 8, 2026, 9:21 p.m.