Triple
T2613660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goldwyn Pictures |
E58834
|
entity |
| Predicate | producedWorkType |
P35848
|
FINISHED |
| Object | silent 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: silent feature films | Statement: [Goldwyn Pictures, producedWorkType, silent feature films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: producedWorkType Context triple: [Goldwyn Pictures, producedWorkType, silent feature films]
-
A.
typeOfWork
Indicates the kind or category of work associated with or performed by an entity.
-
B.
worksTo
Indicates that one entity performs work or exerts effort in order to achieve, support, or contribute to another entity or outcome.
-
C.
productTypeWorkedOn
Indicates that an entity has worked on or been involved in creating, developing, or handling a particular type of product.
-
D.
producedFilmType
chosen
Indicates that an entity (such as a person or organization) was responsible for producing a film of a specified type or category.
-
E.
eligibleProductionType
Indicates that a given entity qualifies for or is allowed to participate in a specified type or category of production.
- 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_69ab4ac444dc819099614e534dd6021f |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd89325308190985598373eb0d296 |
completed | March 7, 2026, 7:49 a.m. |
| PD | Predicate disambiguation | batch_69abd80cd7fc81909e9696db2919129f |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:50 p.m.