Triple

T37475504
Position Surface form Disambiguated ID Type / Status
Subject Juan Pablo Duarte E931266 entity
Predicate mother P120 FINISHED
Object Manuela Díez Jiménez
Manuela Díez Jiménez was a Dominican patriot remembered for her support of the independence movement and as the mother of national founding father Juan Pablo Duarte.
E2242898 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: Manuela Díez Jiménez | Statement: [Juan Pablo Duarte, mother, Manuela Díez Jiménez]
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: Manuela Díez Jiménez
Triple: [Juan Pablo Duarte, mother, Manuela Díez Jiménez]
Generated description
Manuela Díez Jiménez was a Dominican patriot remembered for her support of the independence movement and as the mother of national founding father Juan Pablo Duarte.

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_69f76ec2af148190897d101070d7f415 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb8e652328819082cff21f5a1fe709 completed May 6, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40f165a28881909262db8241bb7032 completed June 28, 2026, 10:03 a.m.
NEDg Description generation batch_6a40f22972e48190a673737cf741e5aa completed June 28, 2026, 10:06 a.m.
NED2 Entity disambiguation (via description) batch_6a40f2aa79808190a3952e3cade199a1 completed June 28, 2026, 10:08 a.m.
Created at: May 3, 2026, 4:17 p.m.