Triple
T28274977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joanna Stayton |
E712961
|
entity |
| Predicate | screenwriterCreation |
P34396
|
FINISHED |
| Object | Leslie Dixon |
—
|
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: Leslie Dixon | Statement: [Joanna Stayton, screenwriterCreation, Leslie Dixon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: screenwriterCreation Context triple: [Joanna Stayton, screenwriterCreation, Leslie Dixon]
-
A.
screenwriterCreator
chosen
Indicates that one entity is the screenwriter who created or authored the screenplay for another entity (such as a film, episode, or audiovisual work).
-
B.
screenwriterCreatedBy
Indicates that a screenwriter was created, conceived, or brought into existence by a particular entity (such as a person, organization, or work).
-
C.
screenwriterOfWorkCreator
Indicates that one entity is the screenwriter who created or wrote the screenplay for a particular work.
-
D.
screenwriterInstanceOf
Indicates that a screenwriter belongs to or is classified as a specific type, category, or class of entity.
-
E.
screenwriterSource
Indicates that one entity is the source or origin (e.g., work, database, reference) from which information about a screenwriter is derived.
- 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_69efb52275788190ae5181ccebef18ce |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 27, 2026, 11:19 p.m.