Triple
T6652278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBA All-Rookie First Team 2006-2007 |
E150849
|
entity |
| Predicate | Brandon Roy_nationality |
P41787
|
FINISHED |
| Object | American |
—
|
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: American | Statement: [NBA All-Rookie First Team 2006-2007, Brandon Roy_nationality, American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Brandon Roy_nationality Context triple: [NBA All-Rookie First Team 2006-2007, Brandon Roy_nationality, American]
-
A.
MVPNationality
Indicates that an entity’s nationality is associated with a specific Most Valuable Player (MVP) recognition or context.
-
B.
opponentNationality
Indicates that the related entity is the country or nationality of the opponent in a competitive or adversarial context.
-
C.
notableMemberNationality
Indicates that the notable member of a group or organization has the specified nationality.
-
D.
namedForNationality
Indicates that something is named after or in reference to a particular nationality or national identity.
-
E.
countryOfPlayer
chosen
Indicates the country with which a given player is associated, such as their nationality or the nation they represent.
- 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_69c687f2c9508190a60b9aad31d3f358 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6ad071b0081909b96dd4b93414bd1 |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:01 p.m.