Triple
T7828929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBA All-Star Game Most Valuable Player Award |
E181315
|
entity |
| Predicate | trophyRenamedYear |
P1742
|
FINISHED |
| Object | 2020 |
—
|
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: 2020 | Statement: [NBA All-Star Game Most Valuable Player Award, trophyRenamedYear, 2020]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trophyRenamedYear Context triple: [NBA All-Star Game Most Valuable Player Award, trophyRenamedYear, 2020]
-
A.
trophyRenamedAfter
Indicates that a trophy has been given a new name in honor of or in reference to a particular entity.
-
B.
trophyRenamingSeason
Indicates a period or event during which the name of a trophy is officially changed or reassigned.
-
C.
renamedYear
chosen
Indicates the year in which an entity underwent a renaming or change of name.
-
D.
trophyOfficialName
Indicates the official, formally recognized name assigned to a particular trophy.
-
E.
replacedTrophy
Indicates that one entity has taken the place of another entity in serving as a trophy or awarded symbol of achievement.
- 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_69ca8282ccec819083c48efb72d21cf9 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb04aaed1881908e1da129a43ef9c7 |
completed | March 30, 2026, 11:18 p.m. |
| PD | Predicate disambiguation | batch_69cae91ae008819098e56bbe51143b31 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:44 p.m.