Triple

T14824144
Position Surface form Disambiguated ID Type / Status
Subject Hector Elizondo E348527 entity
Predicate familyName P18 FINISHED
Object Elizondo
Elizondo is a Spanish-origin surname borne by various notable individuals, including American actor Héctor Elizondo.
 E1122954 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: Elizondo | Statement: [Hector Elizondo, familyName, Elizondo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elizondo
Context triple: [Hector Elizondo, familyName, Elizondo]
  • A. Cirocha
    Cirocha is a river in eastern Slovakia that flows through the Carpathian region before joining the Laborec River.
  • B. Guereda
    Guereda is a town in eastern Chad that serves as an administrative and market center in the Wadi Fira region.
  • C. Balbuena
    Balbuena is a metro station on Mexico City’s Line 1 serving the Balbuena neighborhood in the eastern part of the city.
  • D. Nachinola
    Nachinola is a small village located in the North Goa district of the Indian state of Goa, known for its rural setting and proximity to the region’s coastal and cultural attractions.
  • E. Donnacona
    Donnacona is a small town in the Capitale-Nationale region of Quebec, Canada, located west of Quebec City along the Saint Lawrence River.
  • 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: Elizondo
Triple: [Hector Elizondo, familyName, Elizondo]
Generated description
Elizondo is a Spanish-origin surname borne by various notable individuals, including American actor Héctor Elizondo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elizondo
Target entity description: Elizondo is a Spanish-origin surname borne by various notable individuals, including American actor Héctor Elizondo.
  • A. Cirocha
    Cirocha is a river in eastern Slovakia that flows through the Carpathian region before joining the Laborec River.
  • B. Guereda
    Guereda is a town in eastern Chad that serves as an administrative and market center in the Wadi Fira region.
  • C. Balbuena
    Balbuena is a metro station on Mexico City’s Line 1 serving the Balbuena neighborhood in the eastern part of the city.
  • D. Nachinola
    Nachinola is a small village located in the North Goa district of the Indian state of Goa, known for its rural setting and proximity to the region’s coastal and cultural attractions.
  • E. Donnacona
    Donnacona is a small town in the Capitale-Nationale region of Quebec, Canada, located west of Quebec City along the Saint Lawrence River.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe7a8dc8190bcb5ecfa1cbf1601 completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe389d7c848190813be06bed7813d7 completed May 8, 2026, 7:25 p.m.
NEDg Description generation batch_69fe5bc7e6848190a243bcfccaea3a37 completed May 8, 2026, 9:55 p.m.
NED2 Entity disambiguation (via description) batch_69fe5c271c6c8190bb4127cdf8af6647 completed May 8, 2026, 9:56 p.m.
Created at: April 10, 2026, 1:51 a.m.