Triple
T6414680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shmoney Dance |
E127793
|
entity |
| Predicate | hasMemeFormat |
P70525
|
FINISHED |
| Object | people inserting Shmoney Dance clip into unrelated videos |
—
|
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: people inserting Shmoney Dance clip into unrelated videos | Statement: [Shmoney Dance, hasMemeFormat, people inserting Shmoney Dance clip into unrelated videos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMemeFormat Context triple: [Shmoney Dance, hasMemeFormat, people inserting Shmoney Dance clip into unrelated videos]
-
A.
hasFileFormat
Indicates that one entity (typically a digital file or resource) is encoded, stored, or represented using a specific file format defined by the other entity.
-
B.
meetsFormat
Indicates that something conforms to, satisfies, or is compliant with a specified format or structural standard.
-
C.
containsImage
Indicates that one entity includes or embeds an image as part of its content or structure.
-
D.
hasProductionFormat
Indicates that an entity is associated with, or presented in, a particular production or media format.
-
E.
hasMatchFormat
Indicates that something (such as a game, event, or competition) is conducted according to a specified match format or structure.
- 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_69c0083815208190a9b299b8e0640218 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068e6bd3881909b1979de5cdf17fb |
completed | March 22, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69c060f5d4e481909d1366190607b586 |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623d23448190a75cf5d802fc0a02 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:42 p.m.