Triple
T8736592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2022 NBA All-Star Game |
E207400
|
entity |
| Predicate | MVPpoints |
P8918
|
FINISHED |
| Object | 50 |
—
|
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: 50 | Statement: [2022 NBA All-Star Game, MVPpoints, 50]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MVPpoints Context triple: [2022 NBA All-Star Game, MVPpoints, 50]
-
A.
MVPPoints
chosen
Indicates the number of points an entity has earned toward a Most Valuable Player (MVP) recognition or award.
-
B.
MVPGoals
Indicates that an entity has been recognized as the Most Valuable Player (MVP) based on achieving specific performance goals or criteria.
-
C.
MVPMinutesPlayed
Indicates the number of minutes played by the player who received the Most Valuable Player (MVP) recognition in a given game or season.
-
D.
MVPRebounds
Indicates that the subject, as a league MVP, recorded a specified number of rebounds (or achieved a notable rebounding performance).
-
E.
MVP
Indicates that an entity has been selected or recognized as the “Most Valuable Player,” i.e., the most outstanding or impactful participant within a specific game, season, event, or context.
- 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_69ca835a03a081909d4d4cd01a18c9fb |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d44275881909f7eb40b24180294 |
completed | March 31, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69cc457322b481908712a9630a17b954 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:38 p.m.