Triple

T3523955
Position Surface form Disambiguated ID Type / Status
Subject Department of Theatre, University of Illinois at Urbana–Champaign E74492 entity
Predicate offersCoursework P42231 FINISHED
Object acting LITERAL FINISHED

How this triple was built (2 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: acting | Statement: [Department of Theatre, University of Illinois at Urbana–Champaign, offersCoursework, acting]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: offersCoursework
Context triple: [Department of Theatre, University of Illinois at Urbana–Champaign, offersCoursework, acting]
  • A. offersCurriculum
    Indicates that one entity provides or makes available a specific curriculum to another entity.
  • B. offersCourseType
    Indicates that an entity provides or makes available a course of a specified type.
  • C. offersEducationIn chosen
    Indicates that an entity provides or delivers educational programs, courses, or instruction in a specified field, subject, or area.
  • D. offersGrades
    Indicates that one entity provides or assigns academic grades to another entity.
  • E. offersDegree
    Indicates that an institution or program provides a specific academic degree as an available qualification.
  • F. None of above.

Provenance (3 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_69ad85d0c5488190a3d8e02ebd01a1aa completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc68b15881909b407486946ec3c5 completed March 8, 2026, 6:14 p.m.
PD Predicate disambiguation batch_69adae121a048190b03825a001d21f49 completed March 8, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:19 p.m.