Triple
T25122856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Prix de Littérature Policière |
E629311
|
entity |
| Predicate | typicalAwardedWorkForm |
P182809
|
FINISHED |
| Object | novel |
—
|
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: novel | Statement: [Grand Prix de Littérature Policière, typicalAwardedWorkForm, novel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAwardedWorkForm Context triple: [Grand Prix de Littérature Policière, typicalAwardedWorkForm, novel]
-
A.
awardForm
Indicates that one entity is the specific form, type, or category of an award associated with another entity.
-
B.
nominatedWorkType
Indicates the type or category of work for which an entity has been nominated.
-
C.
typicalAwardedBy
Indicates the usual or standard agent (such as a person or organization) that confers or grants a particular award.
-
D.
typicalAwardType
Indicates the usual or most common type or category of award associated with a given entity or context.
-
E.
hasAwardedWorkType
Indicates that an entity has granted or is associated with a specific type or category of work that has received an award.
- 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_69e2ff3288048190bd82c3b7f7bd0e62 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f794f24e588190965e39b77534d53f |
completed | May 3, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
| PDg | Predicate description generation | batch_69f791cad5e08190a8a04ca283dbecaa |
completed | May 3, 2026, 6:19 p.m. |
Created at: April 18, 2026, 6:28 a.m.