Triple
T35911739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carol Beldon |
E1038631
|
entity |
| Predicate | workScreenwriterContext |
P123411
|
FINISHED |
| Object | Mrs. Miniver screenplay adaptation |
—
|
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: Mrs. Miniver screenplay adaptation | Statement: [Carol Beldon, workScreenwriterContext, Mrs. Miniver screenplay adaptation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workScreenwriterContext Context triple: [Carol Beldon, workScreenwriterContext, Mrs. Miniver screenplay adaptation]
-
A.
screenwritersContext
Indicates the contextual or collaborative relationship between screenwriters, such as shared projects, influences, or professional associations.
-
B.
coScreenwriter
Indicates that two or more individuals collaborated in writing the screenplay for the same work.
-
C.
workScreenwritersInclude
chosen
Indicates that a creative work’s credited screenwriters include the specified person or persons.
-
D.
screenwriterSource
Indicates that one entity is the source or origin (e.g., work, database, reference) from which information about a screenwriter is derived.
-
E.
screenwriterOfWork
Indicates that a person served as the screenwriter (wrote the screenplay) for a particular creative work.
- 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_69f76e2259608190bf6788a132e0d139 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:07 p.m.