Triple
T35512258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girl Croosh |
E1026314
|
entity |
| Predicate | depictedPlatformType |
P38304
|
FINISHED |
| Object | news and opinion website |
—
|
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: news and opinion website | Statement: [Girl Croosh, depictedPlatformType, news and opinion website]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictedPlatformType Context triple: [Girl Croosh, depictedPlatformType, news and opinion website]
-
A.
appearsInPlatform
Indicates that an entity is present, available, or featured within a particular platform or system.
-
B.
occursOnPlatform
Indicates that an event, action, or process takes place or is carried out on a specified platform.
-
C.
platforms
Indicates that one entity provides or serves as a base, medium, or environment that supports the operation, distribution, or presentation of another entity.
-
D.
platformsDevelopedFor
Indicates the platforms (e.g., operating systems, devices, or environments) for which something has been specifically created or adapted.
-
E.
typicalPlatform
chosen
Indicates that something commonly or usually serves as the platform or environment on which another thing operates, appears, or is based.
- 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_69f76dfd61208190b93ec6dc439cab41 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd44474ed48190ac372e4c88d762ed |
completed | May 8, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69fd41ef28a48190a66959be5c964461 |
completed | May 8, 2026, 1:52 a.m. |
Created at: May 3, 2026, 4:04 p.m.