Triple
T33940496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Carter-Williams |
E870149
|
entity |
| Predicate | NBArookieOfTheYearAward |
P31236
|
FINISHED |
| Object | 2013–14 NBA season |
—
|
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: 2013–14 NBA season | Statement: [Michael Carter-Williams, NBArookieOfTheYearAward, 2013–14 NBA season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NBArookieOfTheYearAward Context triple: [Michael Carter-Williams, NBArookieOfTheYearAward, 2013–14 NBA season]
-
A.
NBArookieOfTheYearAwards
Indicates that the subject has received one or more NBA Rookie of the Year awards.
-
B.
NBArookieOfTheYearSeason
chosen
Indicates the season in which a player received the NBA Rookie of the Year award.
-
C.
rookieMVP
Indicates that an entity was recognized as the most valuable player (MVP) during their rookie (first) season.
-
D.
leagueRookieOfTheYear
Indicates that the subject was selected as the league’s Rookie of the Year for the specified season or competition.
-
E.
NBAAllRookieFirstTeam
Indicates that a basketball player was selected to the NBA All-Rookie First Team for a given season.
- 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_69f3499b0dd48190b07b4b60babcee02 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7064e906881909c3186c646145d34 |
completed | May 3, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69f70100ec1c8190a6b97f50e88891f2 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:49 a.m.