Triple

T34453344
Position Surface form Disambiguated ID Type / Status
Subject Pierre Cauchon E884434 entity
Predicate positionHeld P8 FINISHED
Object Bishop of Lisieux
The Bishop of Lisieux is a senior Roman Catholic prelate overseeing the Diocese of Lisieux in Normandy, historically notable for figures such as Pierre Cauchon, who played a key role in the trial of Joan of Arc.
E2099194 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: Bishop of Lisieux | Statement: [Pierre Cauchon, positionHeld, Bishop of Lisieux]
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: Bishop of Lisieux
Triple: [Pierre Cauchon, positionHeld, Bishop of Lisieux]
Generated description
The Bishop of Lisieux is a senior Roman Catholic prelate overseeing the Diocese of Lisieux in Normandy, historically notable for figures such as Pierre Cauchon, who played a key role in the trial of Joan of Arc.

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_69f349c607688190b553539d14901a35 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f7197526a08190bf800fcc3948122e completed May 3, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a37212be9b481908c31f9bc5678e031 completed June 20, 2026, 11:24 p.m.
NEDg Description generation batch_6a372200430c8190a70e010e1c3cad77 completed June 20, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_6a37230e5a448190a0915ebeada6edd2 completed June 20, 2026, 11:32 p.m.
Created at: May 1, 2026, 2 a.m.