Triple
T19547099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alan Ladd as Jim Bowie |
E489099
|
entity |
| Predicate | productionTypeOfWork |
P83850
|
FINISHED |
| Object | studio feature film |
—
|
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: studio feature film | Statement: [Alan Ladd as Jim Bowie, productionTypeOfWork, studio feature film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productionTypeOfWork Context triple: [Alan Ladd as Jim Bowie, productionTypeOfWork, studio feature film]
-
A.
productionCategory
chosen
Indicates the classification or type of production process, output, or activity that an entity is associated with.
-
B.
productionTypeContext
Indicates the specific production-related circumstances or conditions under which an activity, process, or item is created or carried out.
-
C.
productionBy
Indicates that something is created, manufactured, or generated by a particular agent, organization, or process.
-
D.
productionTypeSpecialization
Indicates a relationship where one production type is a more specific or specialized form of another, broader production type.
-
E.
typicalProductionType
Indicates the usual or characteristic type of production activity associated with an 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d2d8a6081908e9bb3a6f5d85896 |
completed | April 20, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69e514d4df3c8190b7e9b3b4fdf9452a |
completed | April 19, 2026, 5:45 p.m. |
Created at: April 10, 2026, 1:41 p.m.