Triple
T33442732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Film Award for Best Cinematographer |
E856406
|
entity |
| Predicate | isMajorEuropeanAward |
P193955
|
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: [European Film Award for Best Cinematographer, isMajorEuropeanAward, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorEuropeanAward Context triple: [European Film Award for Best Cinematographer, isMajorEuropeanAward, true]
-
A.
isMajorAward
Indicates that an award is recognized as highly prestigious or of primary importance within its field or context.
-
B.
isMajorAwardFor
Indicates that an award is a primary or highly prestigious recognition given specifically for a particular work, achievement, or contribution.
-
C.
isMajorAwardIn
Indicates that an award is considered a major or highly significant award within a specified context, such as a field, event, or organization.
-
D.
isMajorNationalAwardIn
Indicates that an award is recognized as a major, nationally significant award within a specified country or nation.
-
E.
wonEuropeanTrophy
Indicates that the subject has achieved victory in a European-level competition or trophy.
- 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_69f34971b75881908be360bb041f003c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd5bf69acc819092a01e4259785dc3 |
completed | May 8, 2026, 3:43 a.m. |
| PD | Predicate disambiguation | batch_69fd59b3f4ac8190a7f9dd3142da6e09 |
completed | May 8, 2026, 3:34 a.m. |
| PDg | Predicate description generation | batch_69fd5bf49288819098a12202411cba4f |
completed | May 8, 2026, 3:43 a.m. |
Created at: May 1, 2026, 1:37 a.m.