Triple

T4898955
Position Surface form Disambiguated ID Type / Status
Subject Resolute desk E109749 entity
Predicate creator P184 FINISHED
Object Maple & Co.
Maple & Co. was a prominent British furniture manufacturer and retailer known for its high-quality Victorian and Edwardian furnishings and prestigious commissions.
 E478348 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: Maple & Co. | Statement: [Resolute desk, creator, Maple & Co.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maple & Co.
Context triple: [Resolute desk, creator, Maple & Co.]
  • A. Maple Buds
    Maple Buds is a team or group commonly referred to by the shortened name "The Buds."
  • B. Maple Library
    Maple Library is a public community library serving residents of the Maple neighbourhood in Vaughan, Ontario.
  • C. Maple GO Station
    Maple GO Station is a commuter rail station in Maple, Ontario, serving as a local stop on GO Transit's regional rail network in the Greater Toronto Area.
  • D. Maples
    Maples is the surname of Marla Maples, an American actress and television personality best known as the second wife of former U.S. President Donald Trump.
  • E. Liberty & Co.
    Liberty & Co. is a historic London-based department store and design firm renowned for its influential role in popularizing Art Nouveau style in Britain and abroad.
  • 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: Maple & Co.
Triple: [Resolute desk, creator, Maple & Co.]
Generated description
Maple & Co. was a prominent British furniture manufacturer and retailer known for its high-quality Victorian and Edwardian furnishings and prestigious commissions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maple & Co.
Target entity description: Maple & Co. was a prominent British furniture manufacturer and retailer known for its high-quality Victorian and Edwardian furnishings and prestigious commissions.
  • A. Maple Buds
    Maple Buds is a team or group commonly referred to by the shortened name "The Buds."
  • B. Maple Library
    Maple Library is a public community library serving residents of the Maple neighbourhood in Vaughan, Ontario.
  • C. Maple GO Station
    Maple GO Station is a commuter rail station in Maple, Ontario, serving as a local stop on GO Transit's regional rail network in the Greater Toronto Area.
  • D. Maples
    Maples is the surname of Marla Maples, an American actress and television personality best known as the second wife of former U.S. President Donald Trump.
  • E. Liberty & Co.
    Liberty & Co. is a historic London-based department store and design firm renowned for its influential role in popularizing Art Nouveau style in Britain and abroad.
  • 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_69bd4410bbf88190aad50d2451c863d6 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e4adfc48190b35bf3ad59779bd8 completed March 20, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fcda9748190a5101aed11ae14a8 completed March 21, 2026, 10:15 a.m.
NEDg Description generation batch_69be707405008190ba1456544e8da593 completed March 21, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_69be70e5537c8190b4db230932818a9c completed March 21, 2026, 10:20 a.m.
Created at: March 20, 2026, 1:28 p.m.