Triple

T25548069
Position Surface form Disambiguated ID Type / Status
Subject Dangereuse de l’Isle Bouchard E640362 entity
Predicate child P120 FINISHED
Object Hugues de Châtellerault
Hugues de Châtellerault was a 12th-century French nobleman from the influential Châtellerault family, connected to the Angevin court through his mother Dangereuse de l’Isle Bouchard.
E1693455 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: Hugues de Châtellerault | Statement: [Dangereuse de l’Isle Bouchard, child, Hugues de Châtellerault]
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: Hugues de Châtellerault
Triple: [Dangereuse de l’Isle Bouchard, child, Hugues de Châtellerault]
Generated description
Hugues de Châtellerault was a 12th-century French nobleman from the influential Châtellerault family, connected to the Angevin court through his mother Dangereuse de l’Isle Bouchard.

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_69e75dc101a881909fd33b02174e9768 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f8c398648190be802367a3f5db2d completed May 2, 2026, 1:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10cbdbab308190a5df9baea641a5a8 completed May 22, 2026, 9:34 p.m.
NEDg Description generation batch_6a10ccedad64819080986fe4cae5a969 completed May 22, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_6a10cdf9537481909131c59b126e69b6 completed May 22, 2026, 9:43 p.m.
Created at: April 21, 2026, 3:35 p.m.