Triple

T15110687
Position Surface form Disambiguated ID Type / Status
Subject Brattleboro Museum and Art Center E360903 entity
Predicate shortName P43 FINISHED
Object BMAC
BMAC is a contemporary art museum and cultural center located in Brattleboro, Vermont, known for its rotating exhibitions and community-focused programs.
 E1138902 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: BMAC | Statement: [Brattleboro Museum and Art Center, shortName, BMAC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BMAC
Context triple: [Brattleboro Museum and Art Center, shortName, BMAC]
  • A. RMAC
    RMAC is the abbreviated name of the Royal Mint Advisory Committee, the expert body that advises on the artistic and design aspects of UK coins, medals, seals, and official decorations.
  • B. BMAS
    BMAS is the German federal government ministry responsible for labor market policy, employment regulation, and social welfare systems.
  • C. MAB
    MAB is a German vehicle registration code used for cars registered in the Erzgebirgskreis district of Saxony.
  • D. MAB
    MAB is a German bibliographic data format used for cataloging and exchanging library records, closely related to and historically aligned with MARC standards.
  • E. MAB
    MAB is the London Stock Exchange ticker symbol for Mitchells & Butlers plc, a major UK operator of pubs, bars, and restaurants.
  • 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: BMAC
Triple: [Brattleboro Museum and Art Center, shortName, BMAC]
Generated description
BMAC is a contemporary art museum and cultural center located in Brattleboro, Vermont, known for its rotating exhibitions and community-focused programs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BMAC
Target entity description: BMAC is a contemporary art museum and cultural center located in Brattleboro, Vermont, known for its rotating exhibitions and community-focused programs.
  • A. RMAC
    RMAC is the abbreviated name of the Royal Mint Advisory Committee, the expert body that advises on the artistic and design aspects of UK coins, medals, seals, and official decorations.
  • B. BMAS
    BMAS is the German federal government ministry responsible for labor market policy, employment regulation, and social welfare systems.
  • C. MAB
    MAB is a German vehicle registration code used for cars registered in the Erzgebirgskreis district of Saxony.
  • D. MAB
    MAB is a German bibliographic data format used for cataloging and exchanging library records, closely related to and historically aligned with MARC standards.
  • E. MAB
    MAB is the London Stock Exchange ticker symbol for Mitchells & Butlers plc, a major UK operator of pubs, bars, and restaurants.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0058c04f481909deeac0271d961b6 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7eb139c8190b76393e4a8be576b completed May 9, 2026, 4:28 a.m.
NEDg Description generation batch_69feb9f7b6d88190886fd65ce736ed1b completed May 9, 2026, 4:37 a.m.
NED2 Entity disambiguation (via description) batch_69febaa20ffc819090dd4b113d8513d7 completed May 9, 2026, 4:40 a.m.
Created at: April 10, 2026, 3:05 a.m.