Triple

T27176145
Position Surface form Disambiguated ID Type / Status
Subject Edict of Saint-Maur E683048 entity
Predicate follows P134 FINISHED
Object Edict of Romorantin
The Edict of Romorantin was a 1560 French royal decree under Francis II that shifted the prosecution of heresy from secular to ecclesiastical courts, effectively reducing the use of capital punishment for religious dissent.
 E1764158 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: Edict of Romorantin | Statement: [Edict of Saint-Maur, follows, Edict of Romorantin]
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: Edict of Romorantin
Triple: [Edict of Saint-Maur, follows, Edict of Romorantin]
Generated description
The Edict of Romorantin was a 1560 French royal decree under Francis II that shifted the prosecution of heresy from secular to ecclesiastical courts, effectively reducing the use of capital punishment for religious dissent.

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_69eefad086808190ab89816c0c300476 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f6257a5ae881908db3032511378836 completed May 2, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1262648bb881908af64157017170cb completed May 24, 2026, 2:28 a.m.
NEDg Description generation batch_6a12686ad9cc8190a4c36c60d8d99104 completed May 24, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_6a126901467481909e689c279e3516c1 completed May 24, 2026, 2:57 a.m.
Created at: April 27, 2026, 9:26 a.m.