Triple

T30831009
Position Surface form Disambiguated ID Type / Status
Subject Louise de Budos E785216 entity
Predicate familyName P18 FINISHED
Object de Budos
De Budos is a French noble family name historically associated with members of the aristocracy such as Louise de Budos.
 E1934295 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: de Budos | Statement: [Louise de Budos, familyName, de Budos]
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: de Budos
Triple: [Louise de Budos, familyName, de Budos]
Generated description
De Budos is a French noble family name historically associated with members of the aristocracy such as Louise de Budos.

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_69f224b73d8c81908129383bfb397c87 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f690f9b8ac8190b5913fffaae48346 completed May 3, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a28bbed7c0481909331362c3142870d completed June 10, 2026, 1:20 a.m.
NEDg Description generation batch_6a28bfdbfe988190b9ca4cac27d2ac36 completed June 10, 2026, 1:37 a.m.
NED2 Entity disambiguation (via description) batch_6a28c06caab88190b395799d9c373569 completed June 10, 2026, 1:39 a.m.
Created at: April 29, 2026, 8:44 p.m.