Triple

T24291324
Position Surface form Disambiguated ID Type / Status
Subject Urbain Grandier E605828 entity
Predicate notableEvent P259 FINISHED
Object Loudun witch trial
The Loudun witch trial was a notorious 17th-century French witchcraft and possession case in which priest Urbain Grandier was accused of sorcery and ultimately executed amid political intrigue and mass hysteria.
E1628839 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: Loudun witch trial | Statement: [Urbain Grandier, notableEvent, Loudun witch trial]
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: Loudun witch trial
Triple: [Urbain Grandier, notableEvent, Loudun witch trial]
Generated description
The Loudun witch trial was a notorious 17th-century French witchcraft and possession case in which priest Urbain Grandier was accused of sorcery and ultimately executed amid political intrigue and mass hysteria.

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_69e29549335881909cbf27adcaba1cf0 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f29156ab8081909435b7178e9889bc completed April 29, 2026, 11:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fc9ce03248190a856a028c4eca537 completed May 22, 2026, 3:13 a.m.
NEDg Description generation batch_6a0fcdd6bedc8190aa5d329a4dc08de7 completed May 22, 2026, 3:30 a.m.
NED2 Entity disambiguation (via description) batch_6a0fce7300948190851626ea09b3fe7e completed May 22, 2026, 3:33 a.m.
Created at: April 18, 2026, 12:09 a.m.