Triple

T12193454
Position Surface form Disambiguated ID Type / Status
Subject Conservation departments of the Metropolitan Museum of Art E290523 entity
Predicate hasPart P35 FINISHED
Object Department of Photograph Conservation – The Met
The Department of Photograph Conservation at The Met is a specialized conservation unit dedicated to the preservation, study, and treatment of the museum’s photographic collections.
E293494 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: Department of Photograph Conservation – The Met | Statement: [Conservation departments of the Metropolitan Museum of Art, hasPart, Department of Photograph Conservation – The Met]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Photograph Conservation – The Met
Context triple: [Conservation departments of the Metropolitan Museum of Art, hasPart, Department of Photograph Conservation – The Met]
  • A. Department of Paintings Conservation of the Metropolitan Museum of Art
    The Department of Paintings Conservation of the Metropolitan Museum of Art is a specialized unit responsible for the examination, preservation, and restoration of the museum’s painting collections using art-historical research and scientific analysis.
  • B. Department of Photographs of the Metropolitan Museum of Art
    The Department of Photographs of the Metropolitan Museum of Art is the museum’s curatorial division dedicated to collecting, preserving, studying, and exhibiting photographic works from the medium’s origins to the present.
  • C. Prints and Photographs Division
    The Prints and Photographs Division is a major research unit of the Library of Congress that preserves and provides access to an extensive collection of visual materials, including photographs, prints, drawings, and other graphic works.
  • D. Museum Photographs series
    Museum Photographs series is a body of large-scale color photographs by Thomas Struth that depict visitors observing artworks in major museums, exploring the relationship between art, space, and spectatorship.
  • E. Department of Collection Care
    The Department of Collection Care is the British Museum’s specialist division responsible for conserving, preserving, and managing the long-term care of its collections.
  • 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: Department of Photograph Conservation – The Met
Triple: [Conservation departments of the Metropolitan Museum of Art, hasPart, Department of Photograph Conservation – The Met]
Generated description
The Department of Photograph Conservation at The Met is a specialized conservation unit dedicated to the preservation, study, and treatment of the museum’s photographic collections.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Photograph Conservation – The Met
Target entity description: The Department of Photograph Conservation at The Met is a specialized conservation unit dedicated to the preservation, study, and treatment of the museum’s photographic collections.
  • A. Department of Paintings Conservation of the Metropolitan Museum of Art
    The Department of Paintings Conservation of the Metropolitan Museum of Art is a specialized unit responsible for the examination, preservation, and restoration of the museum’s painting collections using art-historical research and scientific analysis.
  • B. Department of Photographs of the Metropolitan Museum of Art chosen
    The Department of Photographs of the Metropolitan Museum of Art is the museum’s curatorial division dedicated to collecting, preserving, studying, and exhibiting photographic works from the medium’s origins to the present.
  • C. Prints and Photographs Division
    The Prints and Photographs Division is a major research unit of the Library of Congress that preserves and provides access to an extensive collection of visual materials, including photographs, prints, drawings, and other graphic works.
  • D. Museum Photographs series
    Museum Photographs series is a body of large-scale color photographs by Thomas Struth that depict visitors observing artworks in major museums, exploring the relationship between art, space, and spectatorship.
  • E. Department of Collection Care
    The Department of Collection Care is the British Museum’s specialist division responsible for conserving, preserving, and managing the long-term care of its collections.
  • F. None of above.

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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c54a4648190ad0f84c229534155 completed April 10, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e5289608190bded58513316b1e5 completed May 2, 2026, 3:54 p.m.
NEDg Description generation batch_69f61f5b107c819082094791fcf7c5f4 completed May 2, 2026, 3:59 p.m.
NED2 Entity disambiguation (via description) batch_69f62009766c8190985fafe9ba53ae7b completed May 2, 2026, 4:02 p.m.
Created at: April 8, 2026, 9:50 p.m.