Triple
T37353733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Pimple Popper YouTube channel |
E927395
|
entity |
| Predicate | professionOfCreator |
P13413
|
FINISHED |
| Object | dermatologist |
—
|
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: dermatologist | Statement: [Dr. Pimple Popper YouTube channel, professionOfCreator, dermatologist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: professionOfCreator Context triple: [Dr. Pimple Popper YouTube channel, professionOfCreator, dermatologist]
-
A.
creatorOccupation
chosen
Indicates the professional role or job that the creator of an entity holds or held.
-
B.
coCreatorOccupation
Indicates that two or more co-creators share the same occupation or professional role in relation to a creation or project.
-
C.
fieldOfWorkOfCreator
Indicates the professional or thematic field in which a creator primarily works or produces their creations.
-
D.
typeOfWorkHeIsKnownFor
Indicates the category or kind of work for which a person is recognized or notable.
-
E.
artistOccupation
Indicates the professional role or job that an artist holds or performs.
- 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_69f76eb5e034819088e53ab5b7909a68 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb8c38a9688190be524246f5682107 |
completed | May 6, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9c6e0481908565bd849e869b24 |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:16 p.m.