Triple
T33347460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Special Jury Prize |
E853837
|
entity |
| Predicate | isNonTechnicalAward |
P177810
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Special Jury Prize, isNonTechnicalAward, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonTechnicalAward Context triple: [Special Jury Prize, isNonTechnicalAward, true]
-
A.
isNonProfessionalAward
Indicates that an award is given in a non-professional context, typically recognizing amateur, volunteer, or informal achievements rather than professional accomplishments.
-
B.
isNonProfitAward
Indicates that an award is specifically designated for or granted to nonprofit organizations or initiatives.
-
C.
isNonStatisticalAward
Indicates that an award is based on subjective or qualitative criteria rather than on statistical or numerical performance measures.
-
D.
isProfessionalAward
Indicates that the award in question is a formal recognition given within a professional or occupational context.
-
E.
isNonOffensiveAward
Indicates that an award does not contain offensive, inappropriate, or harmful content or connotations.
- 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_69f3496a1a588190bad9cbe9221144e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7051ad6e4819095e82bbd64761803 |
completed | May 3, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69f700fe24e08190998e2c96fbaaad38 |
completed | May 3, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69f70519f114819080659840c04d7911 |
completed | May 3, 2026, 8:19 a.m. |
Created at: May 1, 2026, 1:34 a.m.