Triple
T28014003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What the Stuarts Did for Us |
E707495
|
entity |
| Predicate | educational |
P154479
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [What the Stuarts Did for Us, educational, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: educational Context triple: [What the Stuarts Did for Us, educational, true]
-
A.
isEducational
chosen
Indicates that something serves to teach, instruct, or facilitate learning for an audience.
-
B.
educates
Indicates that one entity provides instruction, knowledge, or training to another entity.
-
C.
educationalContext
Indicates the situational or institutional setting in which an educational activity, interaction, or resource takes place.
-
D.
educationalFocus
Indicates the primary subject area or theme that an educational activity, program, or resource is centered on.
-
E.
commonEducation
Indicates that two or more entities share at least one educational experience in common, such as attending the same school, program, or course.
- 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_69ef96ba350c81908230d0b501b974c4 |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f67f0488bc819089fbd2d2478158d3 |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 27, 2026, 8:05 p.m.