Triple

T23796301
Position Surface form Disambiguated ID Type / Status
Subject Louvre-Lens E588549 entity
Predicate architectOfExhibitionDesign P63690 FINISHED
Object Studio Adrien Gardère
Studio Adrien Gardère is a French design studio renowned for its innovative museum and exhibition scenography that blends architecture, graphic design, and multimedia to create immersive cultural experiences.
E1600876 NE FINISHED

How this triple was built (3 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: Studio Adrien Gardère | Statement: [Louvre-Lens, architectOfExhibitionDesign, Studio Adrien Gardère]
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: Studio Adrien Gardère
Triple: [Louvre-Lens, architectOfExhibitionDesign, Studio Adrien Gardère]
Generated description
Studio Adrien Gardère is a French design studio renowned for its innovative museum and exhibition scenography that blends architecture, graphic design, and multimedia to create immersive cultural experiences.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: architectOfExhibitionDesign
Context triple: [Louvre-Lens, architectOfExhibitionDesign, Studio Adrien Gardère]
  • A. exhibitionDesigner chosen
    Indicates that an entity is responsible for planning, organizing, and designing the layout and presentation of an exhibition for another entity or event.
  • B. exhibitionUse
    Indicates that something is used, intended, or designated for display in an exhibition or exhibit context.
  • C. exhibitDesignGoal
    Indicates that something embodies or demonstrates a particular design objective or intended design outcome.
  • D. exhibitionRole
    Indicates the specific function or capacity an entity has within the context of an exhibition (e.g., organizer, curator, exhibitor, or participant).
  • E. fieldOfExhibition
    Indicates the domain or area in which something is publicly presented, displayed, or exhibited.
  • F. None of above.

Provenance (6 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_69e25d15db58819092ac1e6791696fd9 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1c6dc94d481908800385a58d2c452 completed April 29, 2026, 8:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f53f346e08190adb7e1af0f2ca21e completed May 21, 2026, 6:50 p.m.
NEDg Description generation batch_6a0f5634499c8190ac46621942ed2fd3 completed May 21, 2026, 7 p.m.
NED2 Entity disambiguation (via description) batch_6a0f56b2407c8190aa957702cf33267c completed May 21, 2026, 7:02 p.m.
PD Predicate disambiguation batch_69f155fe300481909bd617443228df65 completed April 29, 2026, 12:51 a.m.
Created at: April 17, 2026, 7:48 p.m.