Triple

T3083233
Position Surface form Disambiguated ID Type / Status
Subject David Arellano E64306 entity
Predicate familyName P18 FINISHED
Object Arellano
Arellano is a Spanish-origin surname borne by various notable individuals across fields such as sports, politics, and the arts.
 E325955 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: Arellano | Statement: [David Arellano, familyName, Arellano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arellano
Context triple: [David Arellano, familyName, Arellano]
  • A. Ovalle
    Ovalle is a Chilean city known as an agricultural and commercial center in the north-central part of the country.
  • B. Molina
    Molina is a Spanish-origin surname borne by numerous notable individuals across fields such as acting, sports, and science.
  • C. Molina
    Molina is a town and commune in Chile’s Maule Region, known for its agricultural activity and proximity to the Radal Siete Tazas National Park.
  • D. Guarijío
    Guarijío is an indigenous Uto-Aztecan language spoken by the Guarijío people of northern Mexico, particularly in the states of Chihuahua and Sonora.
  • E. Supía
    Supía is a municipality in the Caldas Department of Colombia, known historically for gold mining and its indigenous Emberá Chamí heritage.
  • 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: Arellano
Triple: [David Arellano, familyName, Arellano]
Generated description
Arellano is a Spanish-origin surname borne by various notable individuals across fields such as sports, politics, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arellano
Target entity description: Arellano is a Spanish-origin surname borne by various notable individuals across fields such as sports, politics, and the arts.
  • A. Ovalle
    Ovalle is a Chilean city known as an agricultural and commercial center in the north-central part of the country.
  • B. Molina
    Molina is a Spanish-origin surname borne by numerous notable individuals across fields such as acting, sports, and science.
  • C. Molina
    Molina is a town and commune in Chile’s Maule Region, known for its agricultural activity and proximity to the Radal Siete Tazas National Park.
  • D. Guarijío
    Guarijío is an indigenous Uto-Aztecan language spoken by the Guarijío people of northern Mexico, particularly in the states of Chihuahua and Sonora.
  • E. Supía
    Supía is a municipality in the Caldas Department of Colombia, known historically for gold mining and its indigenous Emberá Chamí heritage.
  • 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1e877008190aacbd6f1357bdb9b completed March 8, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f89847e48190b82849701e119758 completed March 11, 2026, 11:19 p.m.
NEDg Description generation batch_69b1f9608e88819098f4044e54e0d908 completed March 11, 2026, 11:23 p.m.
NED2 Entity disambiguation (via description) batch_69b1fe3c8f408190988e7c7e3a51057e completed March 11, 2026, 11:43 p.m.
Created at: March 8, 2026, 3:03 p.m.