Triple
T5795633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Gleyre's studio |
E128501
|
entity |
| Predicate | studentsIncluded |
P48
|
FINISHED |
| Object | many foreign artists |
—
|
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: many foreign artists | Statement: [Charles Gleyre's studio, studentsIncluded, many foreign artists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studentsIncluded Context triple: [Charles Gleyre's studio, studentsIncluded, many foreign artists]
-
A.
hasStudents
chosen
Indicates that an entity (such as a class, school, or teacher) is associated with one or more students.
-
B.
hasStudentEnrollment
Indicates that a person or entity is enrolled as a student in a particular course, program, or educational institution.
-
C.
studentOrAssistant
Indicates that an individual has the role of either a student or an assistant in a given context or relationship.
-
D.
curriculumIncluded
Indicates that a particular subject, topic, or component is part of a defined curriculum or course of study.
-
E.
studentsWing
Indicates a relationship where a particular wing, section, or area is designated for or associated with 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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b1304588190b59a18fb7b70a60f |
completed | March 22, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69c021d477008190946113f9859eeb90 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:51 p.m.