Triple
T35407450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MTV Moonman |
E1023401
|
entity |
| Predicate | categoryOfAwardedWork |
P183287
|
FINISHED |
| Object | music 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: music videos | Statement: [MTV Moonman, categoryOfAwardedWork, music videos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: categoryOfAwardedWork Context triple: [MTV Moonman, categoryOfAwardedWork, music videos]
-
A.
nominatedWorkType
Indicates the type or category of work for which an entity has been nominated.
-
B.
disciplineOfAwardedWork
Indicates the academic or professional field to which the work that received an award belongs.
-
C.
genreOfWorkContributedTo
Indicates that an entity contributed to a work belonging to a specified genre.
-
D.
genreOfSponsoredWork
Indicates that a work is of a particular genre specifically in the context of being sponsored or funded.
-
E.
genreOfAchievement
Indicates that an achievement belongs to or is categorized under a particular genre.
- 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_69f76df54bac8190bd0d3b0eb35cda5f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79da9f80c8190b0afd8509f28747b |
completed | May 3, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69f79617d40481909ba372f94209c08b |
completed | May 3, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69f79da8d8848190ab5ab1bdad95d58c |
completed | May 3, 2026, 7:10 p.m. |
Created at: May 3, 2026, 4:03 p.m.