Triple

T19165515
Position Surface form Disambiguated ID Type / Status
Subject Bernardo Abeyta E469168 entity
Predicate familyName P18 FINISHED
Object Abeyta
Abeyta is a Spanish-derived surname commonly found in the American Southwest, particularly among Hispanic and Native American communities.
 E1361450 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: Abeyta | Statement: [Bernardo Abeyta, familyName, Abeyta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Abeyta
Context triple: [Bernardo Abeyta, familyName, Abeyta]
  • A. Carbajal
    Carbajal is a Spanish surname historically associated with figures such as Garcí Manuel de Carbajal, a notable colonial-era official.
  • B. Alvarado
    Alvarado is a rural municipality in Costa Rica known for its agricultural landscape and small-town communities within Cartago Province.
  • C. Alvarado
    Alvarado is a historic port city in the Mexican state of Veracruz, known for its fishing industry and location near the Gulf of Mexico.
  • D. Abizaid
    Abizaid is the surname of John Abizaid, a retired U.S. Army general and former commander of United States Central Command.
  • E. Aguilar
    Aguilar is a noble family name of Spanish origin historically associated with various aristocratic lineages and houses on the Iberian Peninsula.
  • 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: Abeyta
Triple: [Bernardo Abeyta, familyName, Abeyta]
Generated description
Abeyta is a Spanish-derived surname commonly found in the American Southwest, particularly among Hispanic and Native American communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Abeyta
Target entity description: Abeyta is a Spanish-derived surname commonly found in the American Southwest, particularly among Hispanic and Native American communities.
  • A. Carbajal
    Carbajal is a Spanish surname historically associated with figures such as Garcí Manuel de Carbajal, a notable colonial-era official.
  • B. Alvarado
    Alvarado is a rural municipality in Costa Rica known for its agricultural landscape and small-town communities within Cartago Province.
  • C. Alvarado
    Alvarado is a historic port city in the Mexican state of Veracruz, known for its fishing industry and location near the Gulf of Mexico.
  • D. Abizaid
    Abizaid is the surname of John Abizaid, a retired U.S. Army general and former commander of United States Central Command.
  • E. Aguilar
    Aguilar is a noble family name of Spanish origin historically associated with various aristocratic lineages and houses on the Iberian Peninsula.
  • 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f15ee064819087f9fd822236298f completed April 20, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a06f25ef2208190842d2b29bee2c8ce completed May 15, 2026, 10:15 a.m.
NEDg Description generation batch_6a06f3864b848190bcc76953e1a261f3 completed May 15, 2026, 10:20 a.m.
NED2 Entity disambiguation (via description) batch_6a06f4199a588190943d3d45536a228c completed May 15, 2026, 10:23 a.m.
Created at: April 10, 2026, 12:06 p.m.