Triple
T33203771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple Creative Pro |
E849970
|
entity |
| Predicate | teachesDomain |
P28135
|
FINISHED |
| Object | photography |
—
|
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: photography | Statement: [Apple Creative Pro, teachesDomain, photography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teachesDomain Context triple: [Apple Creative Pro, teachesDomain, photography]
-
A.
trainingDomain
chosen
Indicates that an entity is associated with or operates within a particular field, area, or domain of training.
-
B.
teachesAbout
Indicates that one entity provides instruction or information to another entity on a particular subject or topic.
-
C.
taughtAs
Indicates that one entity served as a teacher or instructor for another entity in an educational or training context.
-
D.
teachingSubject
Indicates that an entity is engaged in teaching or instructing another entity in a particular subject or field of knowledge.
-
E.
isTaughtTo
Indicates that some knowledge, skill, or subject is being instructed or conveyed by a teacher or source to a learner or recipient.
- 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_69f3495efedc8190843a5728089544b9 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:30 a.m.