Triple
T21676269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supernatural |
E534977
|
entity |
| Predicate | numberOfLatinGrammyAwardsWon |
P145405
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Supernatural, numberOfLatinGrammyAwardsWon, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfLatinGrammyAwardsWon Context triple: [Supernatural, numberOfLatinGrammyAwardsWon, 3]
-
A.
yearOfGrammyWins
Indicates the specific year or years in which an entity received one or more Grammy Awards.
-
B.
grammyWins
Indicates that an entity has received one or more Grammy Awards as a winner.
-
C.
numberOfGrammyNominations
Indicates the total count of Grammy Award nominations that an entity has received.
-
D.
numberOfAwards
Indicates the total count of awards that have been received by an entity.
-
E.
languageOfMostNominations
Indicates the language in which the highest number of nominations (e.g., for awards or recognitions) have been made within a given context.
- 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_69e0c46898008190aa618a4af55bd1ee |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef8a0f85748190944b9425ffed02ee |
completed | April 27, 2026, 4:08 p.m. |
| PD | Predicate disambiguation | batch_69e6968abfdc81909cf9e0bd72db9eca |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69cb4bcbc8190a4fc2d508df107be |
completed | April 20, 2026, 9:37 p.m. |
Created at: April 16, 2026, 6:42 p.m.