Triple
T2216395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cloudy Productions |
E48041
|
entity |
| Predicate | partOfProjectType |
P19231
|
FINISHED |
| Object | feature films |
—
|
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: feature films | Statement: [Cloudy Productions, partOfProjectType, feature films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfProjectType Context triple: [Cloudy Productions, partOfProjectType, feature films]
-
A.
hasProjectType
Indicates that an entity is associated with, or classified under, a specific type or category of project.
-
B.
partOfWorkType
chosen
Indicates that something is a component, subtype, or specific category within a broader type of work.
-
C.
supportsProjectType
Indicates that one entity is capable of handling, accommodating, or being compatible with a specified type of project.
-
D.
notableProjectType
Indicates the type or category of a project for which an entity is particularly well-known or notable.
-
E.
parentProject
Indicates that one project serves as the direct higher-level or containing project in relation to another project.
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc00f4c3881909d03301fcdfa8b67 |
completed | March 7, 2026, 6:05 a.m. |
| PD | Predicate disambiguation | batch_69abbdaa26d48190860c33fd464c4845 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:46 p.m.