Triple

T15688634
Position Surface form Disambiguated ID Type / Status
Subject constructivism (psychology) E380265 entity
Predicate viewOnTeacherRole P4078 FINISHED
Object teacher as facilitator 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: teacher as facilitator | Statement: [constructivism (psychology), viewOnTeacherRole, teacher as facilitator]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: viewOnTeacherRole
Context triple: [constructivism (psychology), viewOnTeacherRole, teacher as facilitator]
  • A. viewsLearnerAs
    Indicates that one entity perceives, regards, or treats another entity specifically in the role of a learner.
  • B. viewOnEducation chosen
    Indicates a stance, opinion, or perspective that an entity holds regarding education or educational matters.
  • C. courseRole
    Indicates the specific function or position an individual holds within a course, such as student, instructor, or assistant.
  • D. roleInMyOctopusTeacher
    Indicates that an entity has a specific role or participation in the documentary "My Octopus Teacher."
  • E. hasTeachingRole
    Indicates that one entity holds a position or responsibility involving teaching or instruction in relation to another entity.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f4cee5481908699fbb2b7bdd2f6 completed April 16, 2026, 2:54 a.m.
PD Predicate disambiguation batch_69deda8c856c8190882330114f9a1a5f completed April 15, 2026, 12:23 a.m.
Created at: April 10, 2026, 4:44 a.m.