Triple
T36071443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esskeetit |
E1043377
|
entity |
| Predicate | firstPopularPlatform |
P204717
|
FINISHED |
| Object | social media |
—
|
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: social media | Statement: [Esskeetit, firstPopularPlatform, social media]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPopularPlatform Context triple: [Esskeetit, firstPopularPlatform, social media]
-
A.
firstReleasePlatform
Indicates the platform on which something (such as a product, work, or media) was first released.
-
B.
typicalPlatform
Indicates that something commonly or usually serves as the platform or environment on which another thing operates, appears, or is based.
-
C.
firstBroadcastPlatform
Indicates the platform or channel on which something, typically a media work, was originally broadcast for the first time.
-
D.
platforms
Indicates that one entity provides or serves as a base, medium, or environment that supports the operation, distribution, or presentation of another entity.
-
E.
firstDeploymentPlatform
Indicates the platform on which something (such as a product, service, or software) was initially deployed or launched.
- F. None of above. chosen
Provenance (4 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_69f76e2fd3248190b900d9a492bf5a7a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:08 p.m.