Triple
T19648029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Critics' Choice Movie Award for Best Supporting Actress |
E471730
|
entity |
| Predicate | hasAwardedGender |
P23180
|
FINISHED |
| Object | actress |
—
|
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: actress | Statement: [Critics' Choice Movie Award for Best Supporting Actress, hasAwardedGender, actress]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAwardedGender Context triple: [Critics' Choice Movie Award for Best Supporting Actress, hasAwardedGender, actress]
-
A.
awardCategoryGender
chosen
Indicates that an award category is designated for recipients of a specific gender.
-
B.
hasAwarded
Indicates that one entity has given or conferred an award to another entity.
-
C.
winnerGender
Indicates the gender of the entity that is the winner in a given event or competition.
-
D.
hasAwardedEntityType
Indicates that a particular type or category of entity is the recipient of an award or recognition.
-
E.
holderAwardedFor
Indicates that an award holder received the award specifically in recognition of, or as a result of, a particular work, achievement, or contribution.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64126cea88190a1a6929f46de4686 |
completed | April 20, 2026, 3:07 p.m. |
| PD | Predicate disambiguation | batch_69e514e941008190898d978d7bde91e4 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:44 p.m.