Triple

T22015807
Position Surface form Disambiguated ID Type / Status
Subject François de Rohan, Prince de Soubise E543704 entity
Predicate child P120 FINISHED
Object Anne Marguerite de Rohan
Anne Marguerite de Rohan was a French noblewoman of the powerful Rohan family and the daughter of François de Rohan, Prince de Soubise, active in the late 17th and early 18th centuries.
E1640780 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: Anne Marguerite de Rohan | Statement: [François de Rohan, Prince de Soubise, child, Anne Marguerite de Rohan]
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: Anne Marguerite de Rohan
Triple: [François de Rohan, Prince de Soubise, child, Anne Marguerite de Rohan]
Generated description
Anne Marguerite de Rohan was a French noblewoman of the powerful Rohan family and the daughter of François de Rohan, Prince de Soubise, active in the late 17th and early 18th centuries.

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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a774548190bcd98dc28f2d2c5f completed April 28, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0ff8235ccc81909245851393c7a383 completed May 22, 2026, 6:30 a.m.
NEDg Description generation batch_6a0ff8eff7248190afaf5cccdd4a3444 completed May 22, 2026, 6:34 a.m.
NED2 Entity disambiguation (via description) batch_6a0ff9d952ec81908a5b2640c263e21d completed May 22, 2026, 6:38 a.m.
Created at: April 16, 2026, 8:22 p.m.