Triple
T528413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBA 2K League |
E10974
|
entity |
| Predicate | playerType |
P5518
|
FINISHED |
| Object | human players |
—
|
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: human players | Statement: [NBA 2K League, playerType, human players]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playerType Context triple: [NBA 2K League, playerType, human players]
-
A.
participantType
Indicates the specific role or category that a participant has within a given event, activity, or relationship.
-
B.
typeOfRole
chosen
Indicates that one entity specifies the kind or category of role that another entity holds or performs.
-
C.
typeOfTeams
Indicates the categories or kinds of teams to which an entity or group of entities belongs.
-
D.
supporterType
Indicates the specific role or category of support a supporter provides in relation to another entity or activity.
-
E.
customerType
Indicates the classification or category assigned to a customer based on their characteristics, status, or relationship with a business.
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1d39b4c81909f265b3501b5ec1d |
completed | Feb. 28, 2026, 1:46 p.m. |
| PD | Predicate disambiguation | batch_69a2f01ac3ec8190a94a05955532c7fa |
completed | Feb. 28, 2026, 1:39 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.