Triple
T4845689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ABA Rookie of the Year Award (Mel Daniels, 1967–68) |
E108283
|
entity |
| Predicate | recipientNationality |
P59748
|
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: [ABA Rookie of the Year Award (Mel Daniels, 1967–68), recipientNationality, American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recipientNationality Context triple: [ABA Rookie of the Year Award (Mel Daniels, 1967–68), recipientNationality, American]
-
A.
bearerNationality
Indicates that one entity is the country or nationality associated with the bearer of another entity, such as a document or credential.
-
B.
nativeCountry
Indicates the country in which an entity (typically a person) was born or is originally from.
-
C.
issuerCountry
Indicates the country that has issued or is responsible for the issuance of a given entity (such as a document, instrument, or security).
-
D.
recipientRegion
Indicates the geographic region that receives or is the destination of a transfer, delivery, or directed action.
-
E.
beneficiaryCountry
Indicates that one country is the recipient or beneficiary of aid, resources, or advantages provided in a given context.
- F. None of above. chosen
Provenance (4 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_69bd4409b264819085ab855f3eb5381a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e01872c81909607010c10538ad1 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2375a4819098e16acb982c8fab |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6dfff1488190a32bbb615bfab970 |
completed | March 20, 2026, 3:55 p.m. |
Created at: March 20, 2026, 1:25 p.m.