Triple
T29930286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jazz |
E760194
|
entity |
| Predicate | hasEducationalField |
P117345
|
FINISHED |
| Object | jazz studies |
—
|
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: jazz studies | Statement: [Jazz, hasEducationalField, jazz studies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEducationalField Context triple: [Jazz, hasEducationalField, jazz studies]
-
A.
educationalField
Indicates the academic or disciplinary area in which an educational activity, program, or qualification is focused.
-
B.
educationField
Indicates the academic or professional discipline in which an entity has been educated or trained.
-
C.
hasEducationIn
chosen
Indicates that an entity has received education, training, or formal study in a specified field, subject, or discipline.
-
D.
hasEducationalWork
Indicates that one entity is the creator, contributor, or subject of an educational work (such as a textbook, course, or instructional material) associated with another entity.
-
E.
hasEducationalProfile
Indicates that an entity is associated with a specific educational profile, detailing its education-related characteristics, qualifications, or academic background.
- 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_69f224631674819080c8d089674f9f4f |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6b2a65c7c8190ac40f1466ceadefc |
completed | May 3, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f6b14d7d508190bc7d4c89dfba4a32 |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 29, 2026, 6:17 p.m.