Triple
T37353748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Pimple Popper YouTube channel |
E927395
|
entity |
| Predicate | hasOnScreenNameOfHost |
P69377
|
FINISHED |
| Object | Dr. Pimple Popper |
—
|
NE NERFINISHED |
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: Dr. Pimple Popper | Statement: [Dr. Pimple Popper YouTube channel, hasOnScreenNameOfHost, Dr. Pimple Popper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOnScreenNameOfHost Context triple: [Dr. Pimple Popper YouTube channel, hasOnScreenNameOfHost, Dr. Pimple Popper]
-
A.
hasOnScreenOwner
Indicates that an entity is owned or controlled by another entity that is explicitly shown or represented on screen.
-
B.
hasHostCharacter
Indicates that one entity serves as the host or primary character associated with another entity, such as a show, event, or media production.
-
C.
hasNetworkName
Indicates that an entity is associated with a specific network identifier or name.
-
D.
hasOnScreenText
Indicates that some text content is visually displayed on a screen within a given context or medium.
-
E.
hostFullName
chosen
Indicates that one entity is the complete personal name (including given and family names, and possibly middle names or titles) of the host associated with another entity.
- 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_69fd0d0ba5c48190bddb3f0e6637544c |
completed | May 7, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69fd0c4324a8819086c90adf46216e0e |
completed | May 7, 2026, 10:03 p.m. |
Created at: May 3, 2026, 4:16 p.m.