Triple
T37523087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Best Artist |
E932831
|
entity |
| Predicate | hasAwardShowType |
P58135
|
FINISHED |
| Object | music awards show |
—
|
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 awards show | Statement: [Best Artist, hasAwardShowType, music awards show]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAwardShowType Context triple: [Best Artist, hasAwardShowType, music awards show]
-
A.
hasAwardShow
Indicates that an entity organizes, hosts, or is associated with a specific award show or ceremony.
-
B.
awardShowType
chosen
Indicates the specific category or kind of award show associated with an entity.
-
C.
hasAwardCategoryWithin
Indicates that an award belongs to or is classified under a specific award category within a broader award system or hierarchy.
-
D.
hasSpecialAwardType
Indicates that an entity is associated with a specific kind or category of special award.
-
E.
hasAwardConnection
Indicates a relationship where an entity is connected to an award, such as by receiving, being nominated for, or otherwise associated with that 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_69f76ec8862c8190bfa24145f5480642 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba5eec0448190a5e6f0c43fdcd0e3 |
completed | May 6, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69fba34edd548190bfa980e6e16e0a88 |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.