Triple
T23232516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 49th Annual Grammy Awards |
E581195
|
entity |
| Predicate | mostAwardsArtistCount |
P151450
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [49th Annual Grammy Awards, mostAwardsArtistCount, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostAwardsArtistCount Context triple: [49th Annual Grammy Awards, mostAwardsArtistCount, 5]
-
A.
mostNominationsCount
Indicates the highest number of nominations that any entity in the relevant set has received.
-
B.
mostAwardsFilmCount
Indicates the total number of awards received by the film that holds the record for having the most awards.
-
C.
mostAwardsHolder
Indicates that the subject is the entity that holds the highest number of awards within a given group or context.
-
D.
numberOfAwards
Indicates the total count of awards that have been received by an entity.
-
E.
numberOfGrammyNominations
Indicates the total count of Grammy Award nominations that an entity has received.
- 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_69e246043c48819089bae72c9a9c306c |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192e70b2c8190abede6e3cd9344f7 |
completed | April 29, 2026, 5:11 a.m. |
| PD | Predicate disambiguation | batch_69effcdadec0819092ec1749ee453b4e |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d8770d081908897c28b04e5faea |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 17, 2026, 4:09 p.m.