Triple

T12582176
Position Surface form Disambiguated ID Type / Status
Subject Webber Douglas Academy of Dramatic Art E300364 entity
Predicate studentsTrainedFor P40765 FINISHED
Object stage 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: stage | Statement: [Webber Douglas Academy of Dramatic Art, studentsTrainedFor, stage]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: studentsTrainedFor
Context triple: [Webber Douglas Academy of Dramatic Art, studentsTrainedFor, stage]
  • A. receivedTrainingIn
    Indicates that one entity has undergone or been provided with training or instruction in a particular field, skill, or subject associated with another entity.
  • B. providesTrainingFor chosen
    Indicates that one entity delivers or conducts training activities intended to develop the skills or knowledge of another entity.
  • C. trainedAs
    Indicates that one entity has received education or instruction to perform the role, profession, or function represented by another entity.
  • D. studentsReceive
    Indicates that one or more students are the recipients of something, such as instruction, resources, or communications, from another source.
  • E. hasStudents
    Indicates that an entity (such as a class, school, or teacher) is associated with one or more students.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954e6e20481908bca684c4b497c48 completed April 10, 2026, 7:52 p.m.
PD Predicate disambiguation batch_69d95416cbd88190b2c65196162349bc completed April 10, 2026, 7:48 p.m.
Created at: April 9, 2026, 5:03 p.m.