Triple
T24061336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Best Supporting Actress for Executive Suite |
E595960
|
entity |
| Predicate | recognitionCategory |
P133568
|
FINISHED |
| Object | supporting actress in a motion picture |
—
|
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: supporting actress in a motion picture | Statement: [Best Supporting Actress for Executive Suite, recognitionCategory, supporting actress in a motion picture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recognitionCategory Context triple: [Best Supporting Actress for Executive Suite, recognitionCategory, supporting actress in a motion picture]
-
A.
genreOfRecognition
chosen
Indicates the specific genre or category in which an entity (such as a work or person) is formally recognized, honored, or awarded.
-
B.
fieldOfRecognition
Indicates the domain, discipline, or area in which an entity is formally acknowledged, honored, or recognized.
-
C.
canRecognize
Indicates that one entity has the ability to identify or distinguish another entity based on its features or characteristics.
-
D.
recognitionBasis
Indicates the grounds, criteria, or evidence upon which something or someone is acknowledged, identified, or formally recognized.
-
E.
primaryRecognition
Indicates that one entity is the main or foremost source of acknowledgment, credit, or validation for another 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_69e288c25c008190850cf447940ab181 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1da5735cc81908f22e2a20b4c1c90 |
completed | April 29, 2026, 10:15 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:38 p.m.