Triple

T6587136
Position Surface form Disambiguated ID Type / Status
Subject Bonne of Berry E159253 entity
Predicate givenName P17 FINISHED
Object Bonne
Bonne of Berry was a 14th-century French noblewoman of the House of Valois, daughter of John II of France and a politically significant figure through her dynastic marriages.
 E603304 NE FINISHED

How this triple was built (4 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: Bonne | Statement: [Bonne of Berry, givenName, Bonne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bonne
Context triple: [Bonne of Berry, givenName, Bonne]
  • A. BON
    BON is the National Rail station code for Bolton railway station in Greater Manchester, England.
  • B. Bondoufle
    Bondoufle is a commune in the southern suburbs of Paris, located in the Essonne department in Île-de-France, France.
  • C. Le Bonheur
    Le Bonheur is a philosophical poetry collection by French poet and Nobel laureate Sully Prudhomme that meditates on the nature and pursuit of human happiness.
  • D. Bonny
    Bonny is a historic coastal town and important oil and gas hub located on Bonny Island in Nigeria’s Rivers State.
  • E. Bitchois
    Bitchois is the French demonym for inhabitants of the town of Bitche in northeastern France.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Bonne
Triple: [Bonne of Berry, givenName, Bonne]
Generated description
Bonne of Berry was a 14th-century French noblewoman of the House of Valois, daughter of John II of France and a politically significant figure through her dynastic marriages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bonne
Target entity description: Bonne of Berry was a 14th-century French noblewoman of the House of Valois, daughter of John II of France and a politically significant figure through her dynastic marriages.
  • A. BON
    BON is the National Rail station code for Bolton railway station in Greater Manchester, England.
  • B. Bondoufle
    Bondoufle is a commune in the southern suburbs of Paris, located in the Essonne department in Île-de-France, France.
  • C. Le Bonheur
    Le Bonheur is a philosophical poetry collection by French poet and Nobel laureate Sully Prudhomme that meditates on the nature and pursuit of human happiness.
  • D. Bonny
    Bonny is a historic coastal town and important oil and gas hub located on Bonny Island in Nigeria’s Rivers State.
  • E. Bitchois
    Bitchois is the French demonym for inhabitants of the town of Bitche in northeastern France.
  • F. None of above. chosen

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_69c688366ce8819083f8883983c0df92 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6aeafd2848190bb51e3ea9711c803 completed March 27, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d5794f388190a04f4f9c9e628f22 completed March 27, 2026, 7:07 p.m.
NEDg Description generation batch_69c6d677a74881908e174a6f6c7a5497 completed March 27, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_69c6d8486534819080b75cad9cc32276 completed March 27, 2026, 7:19 p.m.
Created at: March 27, 2026, 1:55 p.m.