Triple
T32501836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Latino Book Award for Best Political/Current Affairs Book (for Back Channel to Cuba) |
E830681
|
entity |
| Predicate | subjectOfAwardedWork |
P17579
|
FINISHED |
| Object | U.S.-Cuba relations |
—
|
NE NERFINISHED |
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: U.S.-Cuba relations | Statement: [Latino Book Award for Best Political/Current Affairs Book (for Back Channel to Cuba), subjectOfAwardedWork, U.S.-Cuba relations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectOfAwardedWork Context triple: [Latino Book Award for Best Political/Current Affairs Book (for Back Channel to Cuba), subjectOfAwardedWork, U.S.-Cuba relations]
-
A.
categoryOfAwardedWork
Indicates the category or type of work for which an award is given.
-
B.
authorAwardedForBodyOfWork
Indicates that an author received an award recognizing their entire body of work rather than a single specific piece.
-
C.
recipientOfAward
Indicates that an entity has received or been granted a particular award.
-
D.
subjectOfWorkBy
Indicates that one entity is the main topic or focus of a work (such as a book, article, or artwork) created by another entity.
-
E.
notableAwardWork
chosen
Indicates that a work is the specific creation (e.g., book, film, artwork) for which an award or honor was given.
- 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_69f349219cb8819087e120f509629c1b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fccdd496048190bca801a8a9eecb62 |
completed | May 7, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 1, 2026, 12:59 a.m.