Triple
T14658095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Film Award for Best Actor |
E344160
|
entity |
| Predicate | hasAwardedGenderSpecific |
P23180
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [European Film Award for Best Actor, hasAwardedGenderSpecific, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAwardedGenderSpecific Context triple: [European Film Award for Best Actor, hasAwardedGenderSpecific, yes]
-
A.
awardCategoryGender
chosen
Indicates that an award category is designated for recipients of a specific gender.
-
B.
winnerGender
Indicates the gender of the entity that is the winner in a given event or competition.
-
C.
hasAwarded
Indicates that one entity has given or conferred an award to another entity.
-
D.
hasSeparateAwardFor
Indicates that there exists a distinct, dedicated award specifically recognizing the related entity, separate from other general or combined awards.
-
E.
isSpecialAwardOf
Indicates that an award is a distinctive or exceptional honor specifically given to a particular entity (such as a person, work, or organization).
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb51b6a248190a44050c0e0ec2d16 |
completed | April 14, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69de6576f0208190aa94d995e797ac38 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:27 a.m.