Triple
T35352587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marjorie Winfield |
E1020923
|
entity |
| Predicate | screenWriterOfAdaptation |
P23410
|
FINISHED |
| Object | Jack Rose |
—
|
NE NERFINISHED |
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: Jack Rose | Statement: [Marjorie Winfield, screenWriterOfAdaptation, Jack Rose]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: screenWriterOfAdaptation Context triple: [Marjorie Winfield, screenWriterOfAdaptation, Jack Rose]
-
A.
screenWriterAdaptationBy
chosen
Indicates that a person served as the screenwriter responsible for adapting an existing work into a screenplay.
-
B.
screenwriterOfFilmAdaptation
Indicates that one entity is the screenwriter responsible for writing the screenplay of a film adaptation of another entity (typically a literary or original work).
-
C.
screenWriterOfWorkCreator
Indicates that one entity is the screenwriter responsible for creating the screenplay or script for a particular work.
-
D.
screenwriterOfContainingFilm
Indicates that one entity is the screenwriter who wrote the screenplay for a film in which the other entity is contained (e.g., as a segment, episode, or part).
-
E.
screenwriterOfWorkAppearingIn
Indicates that a person is the screenwriter of a work in which a specified entity (such as a character, actor, or role) appears.
- 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_69f76decd95c8190ae428f6a19d535de |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f79f48acec8190a9d5964581a94f6c |
completed | May 3, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:03 p.m.