Triple

T28124833
Position Surface form Disambiguated ID Type / Status
Subject Laurence Golborne E710897 entity
Predicate name P16 FINISHED
Object Laurence Nelson Golborne Riveros
Laurence Nelson Golborne Riveros is a Chilean engineer, businessman, and former government minister best known internationally for his role in managing the 2010 Copiapó mining accident rescue operation.
E1801667 NE FINISHED

How this triple was built (2 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: Laurence Nelson Golborne Riveros | Statement: [Laurence Golborne, name, Laurence Nelson Golborne Riveros]
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: Laurence Nelson Golborne Riveros
Triple: [Laurence Golborne, name, Laurence Nelson Golborne Riveros]
Generated description
Laurence Nelson Golborne Riveros is a Chilean engineer, businessman, and former government minister best known internationally for his role in managing the 2010 Copiapó mining accident rescue operation.

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_69ef9b73bd288190a21ae3d6aa14f386 completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69f640fb767c819088c4253c3ac6739f completed May 2, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15c93806e08190b9902088f506fc61 completed May 26, 2026, 4:24 p.m.
NEDg Description generation batch_6a15c9d233048190a27d170dbe16c07e completed May 26, 2026, 4:26 p.m.
NED2 Entity disambiguation (via description) batch_6a15ca83e4588190baed86972447f0f8 completed May 26, 2026, 4:29 p.m.
Created at: April 27, 2026, 9:19 p.m.