Triple

T30214827
Position Surface form Disambiguated ID Type / Status
Subject Bois des Moutiers E768175 entity
Predicate commissionedBy P27 FINISHED
Object Guillaume Mallet
Guillaume Mallet was a French art patron and member of a prominent banking family known for commissioning the Arts and Crafts–inspired estate and gardens of the Bois des Moutiers in Normandy.
E2294836 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: Guillaume Mallet | Statement: [Bois des Moutiers, commissionedBy, Guillaume Mallet]
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: Guillaume Mallet
Triple: [Bois des Moutiers, commissionedBy, Guillaume Mallet]
Generated description
Guillaume Mallet was a French art patron and member of a prominent banking family known for commissioning the Arts and Crafts–inspired estate and gardens of the Bois des Moutiers in Normandy.

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_69f2247fd8b8819087fcf83cb7a05eb8 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67ff517908190ad290edafd6c6f5f completed May 2, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7c25bd1370819093b7b2f0628c103a completed Aug. 12, 2026, 7:50 a.m.
NEDg Description generation batch_6a7c260a6fbc8190b0a585b1a7fb36de completed Aug. 12, 2026, 7:51 a.m.
NED2 Entity disambiguation (via description) batch_6a7c2654d45881908d1c40c7f6d5b993 completed Aug. 12, 2026, 7:52 a.m.
Created at: April 29, 2026, 7:33 p.m.