Triple

T16775460
Position Surface form Disambiguated ID Type / Status
Subject Ángela Jeria E407709 entity
Predicate familyName P18 FINISHED
Object Jeria
Jeria is a Spanish-language surname most notably associated with Ángela Jeria, the Chilean archaeologist and mother of former president Michelle Bachelet.
 E1233421 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: Jeria | Statement: [Ángela Jeria, familyName, Jeria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jeria
Context triple: [Ángela Jeria, familyName, Jeria]
  • A. Teyuna
    Teyuna is the indigenous name for Colombia’s ancient pre-Hispanic city commonly known as Ciudad Perdida, a major archaeological site of the Tayrona civilization in the Sierra Nevada de Santa Marta.
  • B. Bejae
    Bejae is an ancient name historically associated with the Beja people of northeastern Africa, reflecting their early cultural and regional identity.
  • C. Japhia
    Japhia is a biblical figure mentioned in the Old Testament, known primarily as a member of a family lineage recorded in the genealogies of ancient Israel.
  • D. Seirah
    Seirah is a biblical location mentioned in the Hebrew Bible as a place of refuge associated with the judge Ehud.
  • E. Giha
    Giha is an alternate name for the Ha language, a Bantu language spoken primarily in western Tanzania.
  • 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: Jeria
Triple: [Ángela Jeria, familyName, Jeria]
Generated description
Jeria is a Spanish-language surname most notably associated with Ángela Jeria, the Chilean archaeologist and mother of former president Michelle Bachelet.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jeria
Target entity description: Jeria is a Spanish-language surname most notably associated with Ángela Jeria, the Chilean archaeologist and mother of former president Michelle Bachelet.
  • A. Teyuna
    Teyuna is the indigenous name for Colombia’s ancient pre-Hispanic city commonly known as Ciudad Perdida, a major archaeological site of the Tayrona civilization in the Sierra Nevada de Santa Marta.
  • B. Bejae
    Bejae is an ancient name historically associated with the Beja people of northeastern Africa, reflecting their early cultural and regional identity.
  • C. Japhia
    Japhia is a biblical figure mentioned in the Old Testament, known primarily as a member of a family lineage recorded in the genealogies of ancient Israel.
  • D. Seirah
    Seirah is a biblical location mentioned in the Hebrew Bible as a place of refuge associated with the judge Ehud.
  • E. Giha
    Giha is an alternate name for the Ha language, a Bantu language spoken primarily in western Tanzania.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b039a2a88190865e6a42c830c54d completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00aafe1f8081909b9540aca6e7b9b7 completed May 10, 2026, 3:57 p.m.
NEDg Description generation batch_6a00ac0e10648190803bf962a4677104 completed May 10, 2026, 4:02 p.m.
NED2 Entity disambiguation (via description) batch_6a00acc3a9dc819087e07e539760bf34 completed May 10, 2026, 4:05 p.m.
Created at: April 10, 2026, 5:22 a.m.