Triple
T7854732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Dumars |
E182144
|
entity |
| Predicate | NBAAllSportsmanshipAwardCount |
P79374
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Joe Dumars, NBAAllSportsmanshipAwardCount, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NBAAllSportsmanshipAwardCount Context triple: [Joe Dumars, NBAAllSportsmanshipAwardCount, 1]
-
A.
NBAAllStarGameMVPawards
Indicates that the subject has received one or more NBA All-Star Game Most Valuable Player (MVP) awards.
-
B.
NBAAllNBASelection
Indicates that a player has been selected to an All-NBA Team (First, Second, or Third Team) for a given NBA season.
-
C.
NBA_MVP_awards
Indicates the number of times an entity has received the NBA Most Valuable Player (MVP) award.
-
D.
NBAAllNBASelectionYear
Indicates the year in which a player received an All-NBA Team selection.
-
E.
NBAAllDefensivePlayerOfTheYearAwards
Indicates that the subject has received the NBA Defensive Player of the Year award a specified number of times.
- F. None of above. chosen
Provenance (4 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_69ca82869ee08190b8f9040dbc2c0467 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb1a72cfdc8190a3186c4c2894f571 |
completed | March 31, 2026, 12:50 a.m. |
| PD | Predicate disambiguation | batch_69cae92180f88190ae3d44c3de7adc93 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf786ec748190b6347b0c94335550 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:51 p.m.