Triple
T6414692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shmoney Dance |
E127793
|
entity |
| Predicate | firstPopularAppearance |
P70526
|
FINISHED |
| Object | Hot N***a music video |
—
|
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: Hot N***a music video | Statement: [Shmoney Dance, firstPopularAppearance, Hot N***a music video]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPopularAppearance Context triple: [Shmoney Dance, firstPopularAppearance, Hot N***a music video]
-
A.
firstAppearanceFor
Indicates that an entity marks the initial occurrence or debut of another entity within a given context or medium.
-
B.
firstAppearanceFranchise
Indicates the franchise in which an entity made its first appearance.
-
C.
firstAppearanceEpisode
Indicates the specific episode in which an entity (such as a character or item) is shown or mentioned for the first time.
-
D.
firstAppeared
Indicates the earliest known time or context in which an entity was introduced, observed, or came into existence.
-
E.
firstAlbumAppearance
Indicates the relationship where an entity makes its debut or earliest known appearance on a particular album.
- 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.