Triple

T20047446
Position Surface form Disambiguated ID Type / Status
Subject Daniel Oduber Quirós E497599 entity
Predicate familyName P18 FINISHED
Object Oduber
Oduber is a Spanish-language surname most notably associated with Daniel Oduber Quirós, a former president of Costa Rica.
E1409295 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: Oduber | Statement: [Daniel Oduber Quirós, familyName, Oduber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oduber
Context triple: [Daniel Oduber Quirós, familyName, Oduber]
  • A. Alguber
    Alguber is a civil parish located in the municipality of Cadaval in Portugal, known for its rural character and traditional Portuguese countryside setting.
  • B. Zuberera
    Zuberera is an alternative name for the Souletin dialect of the Basque language, spoken in the Soule region of the French Basque Country.
  • C. Gubarra
    Gubarra is a relatively obscure figure in ancient Near Eastern mythology, known primarily as the consort of the god Amurru.
  • D. Uluberia
    Uluberia is an industrial and rapidly developing town in the Howrah district of West Bengal, India, known for its manufacturing hubs and connectivity to Kolkata.
  • E. Degioz
    Degioz is a small alpine village that serves as the main settlement and administrative center of the Valsavarenche valley in Italy’s Aosta Valley region.
  • 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: Oduber
Triple: [Daniel Oduber Quirós, familyName, Oduber]
Generated description
Oduber is a Spanish-language surname most notably associated with Daniel Oduber Quirós, a former president of Costa Rica.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oduber
Target entity description: Oduber is a Spanish-language surname most notably associated with Daniel Oduber Quirós, a former president of Costa Rica.
  • A. Alguber
    Alguber is a civil parish located in the municipality of Cadaval in Portugal, known for its rural character and traditional Portuguese countryside setting.
  • B. Zuberera
    Zuberera is an alternative name for the Souletin dialect of the Basque language, spoken in the Soule region of the French Basque Country.
  • C. Gubarra
    Gubarra is a relatively obscure figure in ancient Near Eastern mythology, known primarily as the consort of the god Amurru.
  • D. Uluberia
    Uluberia is an industrial and rapidly developing town in the Howrah district of West Bengal, India, known for its manufacturing hubs and connectivity to Kolkata.
  • E. Degioz
    Degioz is a small alpine village that serves as the main settlement and administrative center of the Valsavarenche valley in Italy’s Aosta Valley region.
  • 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6632b2de48190abe2b277d89eb695 completed April 20, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a081605fd748190a44be56169074887 completed May 16, 2026, 7 a.m.
NEDg Description generation batch_6a0818447d288190812c4e5f62436851 completed May 16, 2026, 7:09 a.m.
NED2 Entity disambiguation (via description) batch_6a0818b9ea88819091993dfcdfec0793 completed May 16, 2026, 7:11 a.m.
Created at: April 11, 2026, 3:37 p.m.