Triple

T25595378
Position Surface form Disambiguated ID Type / Status
Subject La divisa punzó E641636 entity
Predicate hasAuthorRelationship P29721 FINISHED
Object María Kodama was Jorge Luis Borges’s widow
María Kodama was an Argentine writer, translator, and literary executor best known for preserving and promoting the legacy of her husband, Jorge Luis Borges.
E1687130 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: María Kodama was Jorge Luis Borges’s widow | Statement: [La divisa punzó, hasAuthorRelationship, María Kodama was Jorge Luis Borges’s widow]
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: María Kodama was Jorge Luis Borges’s widow
Triple: [La divisa punzó, hasAuthorRelationship, María Kodama was Jorge Luis Borges’s widow]
Generated description
María Kodama was an Argentine writer, translator, and literary executor best known for preserving and promoting the legacy of her husband, Jorge Luis Borges.

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_69e75dc60d108190b7e2419e36b0134b completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f9a251cc8190b2632bc5f9b4ca90 completed May 2, 2026, 1:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10b76e9a0c8190b7b7ce07147129c0 completed May 22, 2026, 8:07 p.m.
NEDg Description generation batch_6a10b8265e8c8190817bca20ada4c82a completed May 22, 2026, 8:10 p.m.
NED2 Entity disambiguation (via description) batch_6a10b9651af481909206495b2fc57a2e completed May 22, 2026, 8:15 p.m.
Created at: April 21, 2026, 4:27 p.m.