Triple
T14918791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vitas |
E371452
|
entity |
| Predicate | hasViralInternetMeme |
P66537
|
FINISHED |
| Object | The 7th Element performance |
—
|
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: The 7th Element performance | Statement: [Vitas, hasViralInternetMeme, The 7th Element performance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasViralInternetMeme Context triple: [Vitas, hasViralInternetMeme, The 7th Element performance]
-
A.
hasMemeFormat
Indicates that one entity serves as the template or structural pattern used to create memes involving another entity.
-
B.
hasViralImpact
Indicates that an entity causes, contributes to, or is associated with rapid, wide-scale spread or influence, similar to how viral content propagates.
-
C.
associatedMeme
chosen
Indicates that one entity is linked or connected to another entity in the context of a meme (e.g., as its related or corresponding meme).
-
D.
hasViralMusicVideo
Indicates that an entity possesses or is associated with a music video that has achieved viral popularity or widespread online circulation.
-
E.
wentViralOn
Indicates that content rapidly spread and gained widespread attention or popularity on a particular platform or medium.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded62f76bc81909ebc8899096cd1a0 |
completed | April 15, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69de9a52ba988190a26e268b4ea083ea |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:33 a.m.