Triple

T20068811
Position Surface form Disambiguated ID Type / Status
Subject School of Arts and Sciences, University of Pennsylvania E499678 entity
Predicate hasDepartment P35 FINISHED
Object Department of Music, University of Pennsylvania
The Department of Music at the University of Pennsylvania is an academic unit offering undergraduate and graduate programs in musicology, composition, and related fields within a major research university setting.
E1410522 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 Music, University of Pennsylvania | Statement: [School of Arts and Sciences, University of Pennsylvania, hasDepartment, Department of Music, University of Pennsylvania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Music, University of Pennsylvania
Context triple: [School of Arts and Sciences, University of Pennsylvania, hasDepartment, Department of Music, University of Pennsylvania]
  • A. University of Pittsburgh Department of Music
    The University of Pittsburgh Department of Music is an academic department that offers undergraduate and graduate programs, ensembles, and research opportunities in music performance, composition, and scholarship within the University of Pittsburgh.
  • B. School of Music (Carnegie Mellon University)
    The School of Music at Carnegie Mellon University is a renowned conservatory-style program offering professional training in performance, composition, and music technology within a leading research university.
  • C. Department of Music at Yale University
    The Department of Music at Yale University is an academic unit that offers undergraduate and graduate programs in music scholarship, composition, and performance within the university’s Faculty of Arts and Sciences.
  • D. Penn State School of Music
    The Penn State School of Music is the university’s academic music unit that offers degree programs, ensembles, and performance opportunities for students at Pennsylvania State University.
  • E. Mary Pappert School of Music
    Mary Pappert School of Music is the music school of Duquesne University in Pittsburgh, offering professional training in performance, education, and music technology.
  • 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 Music, University of Pennsylvania
Triple: [School of Arts and Sciences, University of Pennsylvania, hasDepartment, Department of Music, University of Pennsylvania]
Generated description
The Department of Music at the University of Pennsylvania is an academic unit offering undergraduate and graduate programs in musicology, composition, and related fields within a major research university setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Music, University of Pennsylvania
Target entity description: The Department of Music at the University of Pennsylvania is an academic unit offering undergraduate and graduate programs in musicology, composition, and related fields within a major research university setting.
  • A. University of Pittsburgh Department of Music
    The University of Pittsburgh Department of Music is an academic department that offers undergraduate and graduate programs, ensembles, and research opportunities in music performance, composition, and scholarship within the University of Pittsburgh.
  • B. School of Music (Carnegie Mellon University)
    The School of Music at Carnegie Mellon University is a renowned conservatory-style program offering professional training in performance, composition, and music technology within a leading research university.
  • C. Department of Music at Yale University
    The Department of Music at Yale University is an academic unit that offers undergraduate and graduate programs in music scholarship, composition, and performance within the university’s Faculty of Arts and Sciences.
  • D. Penn State School of Music
    The Penn State School of Music is the university’s academic music unit that offers degree programs, ensembles, and performance opportunities for students at Pennsylvania State University.
  • E. Mary Pappert School of Music
    Mary Pappert School of Music is the music school of Duquesne University in Pittsburgh, offering professional training in performance, education, and music technology.
  • 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e664365ad0819089103b00d1cf8c9f completed April 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a081f3acb7881908e23b1d066c35051 completed May 16, 2026, 7:39 a.m.
NEDg Description generation batch_6a081fbb7f208190a032f9f312fd07de completed May 16, 2026, 7:41 a.m.
NED2 Entity disambiguation (via description) batch_6a08208c203c819083abea34d10d5e4e completed May 16, 2026, 7:45 a.m.
Created at: April 11, 2026, 3:39 p.m.