Triple
T4967448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Year of the Flood |
E111560
|
entity |
| Predicate | literaryAwardNomination |
P25539
|
FINISHED |
| Object | Giller Prize longlist |
—
|
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: Giller Prize longlist | Statement: [The Year of the Flood, literaryAwardNomination, Giller Prize longlist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: literaryAwardNomination Context triple: [The Year of the Flood, literaryAwardNomination, Giller Prize longlist]
-
A.
notableAwardOfAuthor
Indicates that a particular award is a significant or distinguished honor received by the author.
-
B.
notableAwardNominationRecipient
Indicates that an entity has been formally nominated to receive a particular notable award.
-
C.
nominatedWork
chosen
Indicates that a particular work (such as a book, film, or artwork) has been put forward as a candidate for an award, honor, or recognition.
-
D.
writtenByNobelLaureate
Indicates that the work or document was authored by a person who has received a Nobel Prize.
-
E.
nominatedIn
Indicates that an entity has been formally put forward as a candidate for an award, position, or recognition within a specific event, context, or time period.
- 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_69bd4419393c819086319a6fe4bf8542 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd72e49b048190bac55d9e7a6f7963 |
completed | March 20, 2026, 4:16 p.m. |
| PD | Predicate disambiguation | batch_69bd71447fe88190bb62c5e8753da7a7 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:32 p.m.