Triple
T17437501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MTV Video Music Award for Best Hip-Hop Video |
E424039
|
entity |
| Predicate | hasTargetWorkType |
P104843
|
FINISHED |
| Object | 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: music video | Statement: [MTV Video Music Award for Best Hip-Hop Video, hasTargetWorkType, music video]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTargetWorkType Context triple: [MTV Video Music Award for Best Hip-Hop Video, hasTargetWorkType, music video]
-
A.
hasWorkTypeRelation
chosen
Indicates a relationship specifying the type or category of work associated with an entity.
-
B.
hasRoleInWorkType
Indicates that an entity holds a specific role or function within a particular type or category of work.
-
C.
hasTaskType
Indicates that an entity is associated with or classified under a specific type or category of task.
-
D.
hasSignificantWorkType
Indicates that an entity is associated with a primary or notably important type or category of work.
-
E.
hasAwardedWorkType
Indicates that an entity has granted or is associated with a specific type or category of work that has received an award.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ff468a08190bdc5cebb8162b4ba |
completed | April 19, 2026, 3:45 a.m. |
| PD | Predicate disambiguation | batch_69e3b030eac481909b8402719cc3102e |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:46 a.m.