Triple
T34657309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hell Shell |
E890016
|
entity |
| Predicate | hasInternetPopularity |
P30376
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Hell Shell, hasInternetPopularity, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInternetPopularity Context triple: [Hell Shell, hasInternetPopularity, true]
-
A.
isPopularOnSocialMedia
chosen
Indicates that an entity is widely followed, frequently engaged with, or broadly recognized across social media platforms.
-
B.
hasInternet
Indicates that an entity possesses or has access to an internet connection.
-
C.
isGloballyPopular
Indicates that something is widely recognized, liked, or used by people across many different countries or regions.
-
D.
hasPopularityInfluencedBy
Indicates that the popularity level of one entity is affected or shaped by another specified factor or entity.
-
E.
hasPopularUse
Indicates that something is widely used, accepted, or favored by a large number of people or within a broad context.
- 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_69f349d906bc8190b2efd9eff237d94b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a0041860fd081908623ef9fd40a9775 |
completed | May 10, 2026, 8:27 a.m. |
| PD | Predicate disambiguation | batch_6a00414b01488190a312adb3b25d69cf |
completed | May 10, 2026, 8:26 a.m. |
Created at: May 1, 2026, 2:04 a.m.