Triple
T10466100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Northern Clemency |
E246797
|
entity |
| Predicate | shortlistedForYear |
P23227
|
FINISHED |
| Object | 2008 |
—
|
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: 2008 | Statement: [The Northern Clemency, shortlistedForYear, 2008]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shortlistedForYear Context triple: [The Northern Clemency, shortlistedForYear, 2008]
-
A.
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.
-
B.
awardedForYearOfRelease
Indicates that an award is given in recognition of a work based on the year in which that work was released.
-
C.
awardNominationYear
chosen
Indicates the year in which an entity received a nomination for an award.
-
D.
TonightTonightAwardYear
Indicates the year in which a specific Tonight Tonight Award was given or is associated with.
-
E.
awardForYear
Indicates that an award is associated with, or was given in, a specific year.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092d6d408190b6bda4d7ced4601e |
completed | April 7, 2026, 1:39 p.m. |
| PD | Predicate disambiguation | batch_69d4fb84bafc8190819757b93620508a |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:19 p.m.