Triple
T33221925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shawn Marion |
E850442
|
entity |
| Predicate | NBAAllDefensiveTeamLevel |
P10049
|
FINISHED |
| Object | NBA All-Defensive Second Team |
—
|
NE NERFINISHED |
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: NBA All-Defensive Second Team | Statement: [Shawn Marion, NBAAllDefensiveTeamLevel, NBA All-Defensive Second Team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NBAAllDefensiveTeamLevel Context triple: [Shawn Marion, NBAAllDefensiveTeamLevel, NBA All-Defensive Second Team]
-
A.
NBAAllDefensiveTeamSelections
Indicates the number of times an entity has been selected to an NBA All-Defensive Team.
-
B.
NBAAllDefensiveFirstTeamSelections
Indicates the number of times an entity has been selected to the NBA All-Defensive First Team.
-
C.
NBAAllDefensiveReputation
Indicates that an entity is recognized or regarded as having a strong defensive reputation in NBA basketball.
-
D.
NBAAllDefensivePlayerOfTheYearAwards
Indicates that the subject has received the NBA Defensive Player of the Year award a specified number of times.
-
E.
NBAAllDefensiveSecondTeamSelections
chosen
Indicates the number of times an entity has been selected to the NBA All-Defensive Second Team.
- 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_69f3496083dc8190b229bb6932dc548b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:30 a.m.