Triple
T683165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donda |
E13224
|
entity |
| Predicate | hasBillboardAchievement |
P9672
|
FINISHED |
| Object | debuted at number one on the US Billboard 200 |
—
|
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: debuted at number one on the US Billboard 200 | Statement: [Donda, hasBillboardAchievement, debuted at number one on the US Billboard 200]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBillboardAchievement Context triple: [Donda, hasBillboardAchievement, debuted at number one on the US Billboard 200]
-
A.
hasScoreboard
Indicates that one entity is equipped with or associated with a scoreboard used to display scores or results.
-
B.
achievementStatus
Indicates the current state or level of completion of an achievement-related goal or milestone for an entity.
-
C.
associatedAchievement
chosen
Indicates a relationship where one entity is linked to, or recognized in connection with, a particular achievement.
-
D.
hasScoredFor
Indicates that one entity has scored points, goals, or similar achievements on behalf of another entity, such as a team, organization, or side.
-
E.
hasTrophyForm
Indicates that one entity exists in, or is characterized by, a special trophy-like form or version of another entity.
- 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_69a4933e0f98819097d22766c49b61b8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a070d4c08190a510a8f9c1ae8076 |
completed | March 1, 2026, 8:24 p.m. |
| PD | Predicate disambiguation | batch_69a49d1f0ccc819088c1527beabcb718 |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.