Triple
T30494360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clouds of May |
E775961
|
entity |
| Predicate | usesCasting |
P97042
|
FINISHED |
| Object | non-professional actors alongside professionals |
—
|
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: non-professional actors alongside professionals | Statement: [Clouds of May, usesCasting, non-professional actors alongside professionals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesCasting Context triple: [Clouds of May, usesCasting, non-professional actors alongside professionals]
-
A.
usesCastingOf
Indicates that one entity employs or applies a particular casting of another entity (such as a type, role, or form) in its operation or context.
-
B.
hasCasting
chosen
Indicates that an entity features a particular actor or set of actors in its cast.
-
C.
isCastingCategoryFor
Indicates that one entity serves as the casting category or type classification used to group or select another entity in a casting context.
-
D.
isTypecast
Indicates that an entity has been assigned or converted to a different type or role than its original or natural one.
-
E.
hasMultipleCasts
Indicates that an entity is associated with more than one distinct cast or casting instance.
- 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_69f22498c5d481908aaea89e6fab8280 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fb563aec448190875410fb1a3ed624 |
completed | May 6, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69fb35b9ede881908aaae93a215525df |
completed | May 6, 2026, 12:36 p.m. |
Created at: April 29, 2026, 8:14 p.m.