Triple

T25251680
Position Surface form Disambiguated ID Type / Status
Subject Odo III, Duke of Burgundy E632756 entity
Predicate alsoKnownAs P39 FINISHED
Object Eudes III de Bourgogne
Eudes III de Bourgogne was a medieval Duke of Burgundy from the Capetian House of Burgundy who ruled in the late 12th and early 13th centuries and participated in the Crusades.
 E1787817 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: Eudes III de Bourgogne | Statement: [Odo III, Duke of Burgundy, alsoKnownAs, Eudes III de Bourgogne]
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: Eudes III de Bourgogne
Triple: [Odo III, Duke of Burgundy, alsoKnownAs, Eudes III de Bourgogne]
Generated description
Eudes III de Bourgogne was a medieval Duke of Burgundy from the Capetian House of Burgundy who ruled in the late 12th and early 13th centuries and participated in the Crusades.

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_69e75a8fdd3881909ba0b05aa5da92a7 completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f4808b8ab08190b48cca8408c88bdf completed May 1, 2026, 10:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a12ec8329f08190b6b41160368b7a44 completed May 24, 2026, 12:18 p.m.
NEDg Description generation batch_6a12ed2afa9481909cc0ca56270ba2a0 completed May 24, 2026, 12:20 p.m.
NED2 Entity disambiguation (via description) batch_6a12edccfe54819094da363072bdf7a6 completed May 24, 2026, 12:23 p.m.
Created at: April 21, 2026, 1:11 p.m.