Triple

T3033591
Position Surface form Disambiguated ID Type / Status
Subject Philippe Starck E82953 entity
Predicate designedForBrand P9494 FINISHED
Object Flos
Flos is an Italian lighting company renowned for its innovative, design-led lamps and fixtures created in collaboration with prominent designers.
 E321470 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: Flos | Statement: [Philippe Starck, designedForBrand, Flos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Flos
Context triple: [Philippe Starck, designedForBrand, Flos]
  • A. Lampada Ferens
    Lampada Ferens is the Latin motto of the University of Hull, traditionally translated as "carrying the light" or "bearing the lamp."
  • B. Cassina
    Cassina is an Italian furniture company renowned for its high-end, design-led modern and contemporary furnishings and collaborations with iconic architects and designers.
  • C. Lampa
    Lampa is a commune and town in central Chile known for its semi-rural character and growing residential and industrial development near Santiago.
  • D. Tulle
    Tulle is a historic town in central France, known as the capital of the Corrèze department in the Nouvelle-Aquitaine region.
  • E. Gebbia
    Gebbia is the surname of Joe Gebbia, the American designer and entrepreneur best known as a co-founder of Airbnb.
  • 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: Flos
Triple: [Philippe Starck, designedForBrand, Flos]
Generated description
Flos is an Italian lighting company renowned for its innovative, design-led lamps and fixtures created in collaboration with prominent designers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Flos
Target entity description: Flos is an Italian lighting company renowned for its innovative, design-led lamps and fixtures created in collaboration with prominent designers.
  • A. Lampada Ferens
    Lampada Ferens is the Latin motto of the University of Hull, traditionally translated as "carrying the light" or "bearing the lamp."
  • B. Cassina
    Cassina is an Italian furniture company renowned for its high-end, design-led modern and contemporary furnishings and collaborations with iconic architects and designers.
  • C. Lampa
    Lampa is a commune and town in central Chile known for its semi-rural character and growing residential and industrial development near Santiago.
  • D. Tulle
    Tulle is a historic town in central France, known as the capital of the Corrèze department in the Nouvelle-Aquitaine region.
  • E. Gebbia
    Gebbia is the surname of Joe Gebbia, the American designer and entrepreneur best known as a co-founder of Airbnb.
  • 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_69ad8b21a62881908ec5dd4fba4a187c completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9af13ce48190bda4f5ca0ffe6285 completed March 8, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1dec30d8081909d6ee691e5e51434 completed March 11, 2026, 9:29 p.m.
NEDg Description generation batch_69b1e297ddc0819092942cdf8a4f9440 completed March 11, 2026, 9:46 p.m.
NED2 Entity disambiguation (via description) batch_69b1e2f519108190883ee481b763b67f completed March 11, 2026, 9:47 p.m.
Created at: March 8, 2026, 3:01 p.m.