Triple
T13309937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cannes 55th Anniversary Prize |
E317032
|
entity |
| Predicate | isSpecialCommemorativeAward |
P78813
|
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: [Cannes 55th Anniversary Prize, isSpecialCommemorativeAward, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSpecialCommemorativeAward Context triple: [Cannes 55th Anniversary Prize, isSpecialCommemorativeAward, true]
-
A.
isSpecialAwardOf
Indicates that an award is a distinctive or exceptional honor specifically given to a particular entity (such as a person, work, or organization).
-
B.
isMilitaryAwardFor
Indicates that something is a military honor or decoration given in recognition of a specific action, service, or achievement.
-
C.
hasSpecialAwardType
chosen
Indicates that an entity is associated with a specific kind or category of special award.
-
D.
isGallantryAward
Indicates that the subject is a formal gallantry award, i.e., an honor conferred in recognition of exceptional bravery or valor.
-
E.
isMilitaryDecorationOf
Indicates that something is a military award or honor that has been conferred upon a particular person, unit, or entity.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6893708190aeebf4c47386cff7 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:29 p.m.