Triple
T15564590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bodil Award for Best Cinematography |
E371082
|
entity |
| Predicate | awardedForContributionTo |
P107
|
FINISHED |
| Object | visual style of a film |
—
|
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: visual style of a film | Statement: [Bodil Award for Best Cinematography, awardedForContributionTo, visual style of a film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardedForContributionTo Context triple: [Bodil Award for Best Cinematography, awardedForContributionTo, visual style of a film]
-
A.
awardContributedTo
Indicates that an entity played a role or made a contribution that helped lead to a particular award or recognition being granted.
-
B.
awardFor
chosen
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
C.
recipientOfAward
Indicates that an entity has received or been granted a particular award.
-
D.
creditedFor
Indicates that one entity is acknowledged as the source, contributor, or originator responsible for another entity (such as a work, achievement, or outcome).
-
E.
awardTo
Indicates that an award, prize, or honor is given or assigned to a particular recipient.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ddd753c8190b51eaef433258081 |
completed | April 16, 2026, 2:47 a.m. |
| PD | Predicate disambiguation | batch_69deda7e6e748190b29ccce23298afef |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:10 a.m.