Triple
T1299887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LaMarcus Aldridge |
E27736
|
entity |
| Predicate | retiredFromProfessionalBasketball |
P2644
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [LaMarcus Aldridge, retiredFromProfessionalBasketball, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: retiredFromProfessionalBasketball Context triple: [LaMarcus Aldridge, retiredFromProfessionalBasketball, true]
-
A.
joinedNBAThrough
Indicates the manner or pathway by which a player entered the NBA, such as via draft, free agency, or other acquisition method.
-
B.
joinedNBASeason
Indicates the season in which an individual first entered and began playing in the NBA.
-
C.
NBAdebutYear
Indicates the year in which a person first played in an official NBA game.
-
D.
playedCollegeBasketballFor
Indicates that a person was a member of and competed for a specific college or university’s basketball team.
-
E.
retiredFrom
chosen
Indicates that an entity has permanently stopped working for or being active in a specified organization, role, or activity.
- 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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c11314a48190ab4efb8b1acdce50 |
completed | March 1, 2026, 10:43 p.m. |
| PD | Predicate disambiguation | batch_69a4bee8544c8190874efd9bae9bccf9 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.