Triple
T1299877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LaMarcus Aldridge |
E27736
|
entity |
| Predicate | playedForUntil |
P2170
|
FINISHED |
| Object | Portland Trail Blazers, 2015 |
—
|
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: Portland Trail Blazers, 2015 | Statement: [LaMarcus Aldridge, playedForUntil, Portland Trail Blazers, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedForUntil Context triple: [LaMarcus Aldridge, playedForUntil, Portland Trail Blazers, 2015]
-
A.
playedFor
chosen
Indicates that one entity has been a member of or participated as a player for a particular team, organization, or group.
-
B.
teamPlayedFor
Indicates that a person was a member of and played for a particular sports team.
-
C.
playedInPeriod
Indicates that an entity participated or was active during a specified time period.
-
D.
playedWith
Indicates that one entity engaged in play or a playful activity together with another entity.
-
E.
playedEntireCareerForSingleFranchise
Indicates that an athlete spent their entire professional career playing for only one franchise or 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_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.