Triple

T35243656
Position Surface form Disambiguated ID Type / Status
Subject Zúñiga E1017597 entity
Predicate hasNotableBearer P458 FINISHED
Object Diego de Zúñiga
Diego de Zúñiga was a 16th-century Spanish Augustinian friar and philosopher known for his early, controversial support of Copernican heliocentrism within a Christian theological framework.
E2139129 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: Diego de Zúñiga | Statement: [Zúñiga, hasNotableBearer, Diego de Zúñiga]
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: Diego de Zúñiga
Triple: [Zúñiga, hasNotableBearer, Diego de Zúñiga]
Generated description
Diego de Zúñiga was a 16th-century Spanish Augustinian friar and philosopher known for his early, controversial support of Copernican heliocentrism within a Christian theological framework.

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_69f76de235048190b990070c23c51b6b completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78f2858608190a39505e57736ef5a completed May 3, 2026, 6:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a382ca2e3e88190a4000b9bb2f76ff5 completed June 21, 2026, 6:25 p.m.
NEDg Description generation batch_6a382e03e20881909ea3a82b1c29c8ec completed June 21, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_6a382e98a29c8190baf0ade40125d39a completed June 21, 2026, 6:34 p.m.
Created at: May 3, 2026, 4:02 p.m.