Triple

T34062690
Position Surface form Disambiguated ID Type / Status
Subject University of Michigan Dance Company E873534 entity
Predicate associatedWithAcademicUnit P1488 FINISHED
Object Department of Dance, University of Michigan School of Music, Theatre & Dance
The Department of Dance at the University of Michigan School of Music, Theatre & Dance is a leading collegiate program offering comprehensive training in contemporary and ballet technique, choreography, and dance scholarship within a major research university.
 E2079777 NE FINISHED

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: Department of Dance, University of Michigan School of Music, Theatre & Dance | Statement: [University of Michigan Dance Company, associatedWithAcademicUnit, Department of Dance, University of Michigan School of Music, Theatre & Dance]
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 Dance, University of Michigan School of Music, Theatre & Dance
Triple: [University of Michigan Dance Company, associatedWithAcademicUnit, Department of Dance, University of Michigan School of Music, Theatre & Dance]
Generated description
The Department of Dance at the University of Michigan School of Music, Theatre & Dance is a leading collegiate program offering comprehensive training in contemporary and ballet technique, choreography, and dance scholarship within a major research university.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: associatedWithAcademicUnit
Context triple: [University of Michigan Dance Company, associatedWithAcademicUnit, Department of Dance, University of Michigan School of Music, Theatre & Dance]
  • A. hasAcademicUnit chosen
    Indicates that an entity is associated with, or belongs to, a specific academic unit such as a department, school, or faculty within an educational institution.
  • B. servesAcademicUnit
    Indicates that one entity performs services or functions in support of, or on behalf of, an academic unit.
  • C. associatedWithAcademicProgram
    Indicates that an entity has a formal connection or linkage to a specific academic program.
  • D. associatedWithInstitution
    Indicates that an entity has a formal or recognized connection or affiliation with an institution.
  • E. associatedWithHumanFaculty
    Indicates a relationship where something is connected to, involves, or pertains to a human mental or cognitive faculty (such as perception, memory, reasoning, or emotion).
  • F. None of above.

Provenance (6 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_69f349a4af208190afa14888f9c9fb9d completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_6a037c8ae0248190b7e2ce4bf852c22d completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a36a04850b88190b25839a34b97d9a2 completed June 20, 2026, 2:14 p.m.
NEDg Description generation batch_6a36a43c9c648190826c3959b6543e43 completed June 20, 2026, 2:31 p.m.
NED2 Entity disambiguation (via description) batch_6a36a5e441b8819096ee0f7e6a01173b completed June 20, 2026, 2:38 p.m.
PD Predicate disambiguation batch_6a0379f963908190846d232f386fd98f completed May 12, 2026, 7:05 p.m.
Created at: May 1, 2026, 1:52 a.m.