Triple

T17748939
Position Surface form Disambiguated ID Type / Status
Subject Beijing Film Academy E443063 entity
Predicate hasFaculty P141 FINISHED
Object Photography Department NE NERFINISHED

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: Photography Department | Statement: [Beijing Film Academy, hasFaculty, Photography Department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Photography Department
Context triple: [Beijing Film Academy, hasFaculty, Photography Department]
  • A. Photography Department
    The Photography Department is the curatorial division of the Los Angeles County Museum of Art dedicated to collecting, preserving, and exhibiting photographic works.
  • B. Photography Department
    The Photography Department is a specialized curatorial and research unit within the Museu Nacional d’Art de Catalunya (MNAC) dedicated to preserving, studying, and exhibiting photographic works.
  • C. Department of Photography
    The Department of Photography is a curatorial division of the Carnegie Museum of Art dedicated to collecting, preserving, and exhibiting photographic works.
  • D. Department of Photography
    The Department of Photography is an academic unit within Marmara University's Faculty of Fine Arts that provides specialized education and training in photographic arts and visual communication.
  • E. Department of Photography & Imaging
    The Department of Photography & Imaging is a program at NYU’s Tisch School of the Arts dedicated to the study and creation of photographic and related media in both artistic and professional contexts.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Photography Department
Target entity description: The Photography Department of the Beijing Film Academy is a specialized academic unit dedicated to training professional photographers and cinematographers for film, television, and related visual media.
  • A. Photography Department
    The Photography Department is the curatorial division of the Los Angeles County Museum of Art dedicated to collecting, preserving, and exhibiting photographic works.
  • B. Photography Department
    The Photography Department is a specialized curatorial and research unit within the Museu Nacional d’Art de Catalunya (MNAC) dedicated to preserving, studying, and exhibiting photographic works.
  • C. Department of Photography
    The Department of Photography is a curatorial division of the Carnegie Museum of Art dedicated to collecting, preserving, and exhibiting photographic works.
  • D. Department of Photography
    The Department of Photography is an academic unit within Marmara University's Faculty of Fine Arts that provides specialized education and training in photographic arts and visual communication.
  • E. Department of Photography & Imaging
    The Department of Photography & Imaging is a program at NYU’s Tisch School of the Arts dedicated to the study and creation of photographic and related media in both artistic and professional contexts.
  • F. None of above. chosen

Provenance (2 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47ad46a50819089c87f74efe3c7ca completed April 19, 2026, 6:48 a.m.
Created at: April 10, 2026, 10:10 a.m.