Triple
T9391261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jackie Wilson |
E226029
|
entity |
| Predicate | dateOfGrammyLifetimeAchievementAward |
P8111
|
FINISHED |
| Object | 2003 |
—
|
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: 2003 | Statement: [Jackie Wilson, dateOfGrammyLifetimeAchievementAward, 2003]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfGrammyLifetimeAchievementAward Context triple: [Jackie Wilson, dateOfGrammyLifetimeAchievementAward, 2003]
-
A.
grammyWins
Indicates that an entity has received one or more Grammy Awards as a winner.
-
B.
yearOfGrammyWins
Indicates the specific year or years in which an entity received one or more Grammy Awards.
-
C.
lifetimeAward
Indicates that an entity has received a special honor or recognition for achievements spanning the entirety or a significant portion of their career or life.
-
D.
numberOfGrammyNominations
Indicates the total count of Grammy Award nominations that an entity has received.
-
E.
yearHonored
chosen
Indicates the specific year in which an entity received an honor, award, or formal recognition.
- 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_69ca842f7e3481908bf5bcf52e032dbd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd510d7a9c8190a74ccdb5478dedc9 |
completed | April 1, 2026, 5:08 p.m. |
| PD | Predicate disambiguation | batch_69cca545b2448190a4297312e39c21ac |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:45 p.m.