Triple
T32243702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roots in Water |
E823686
|
entity |
| Predicate | hasCreativeControl |
P184400
|
FINISHED |
| Object | Domenica Cameron-Scorsese |
—
|
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: Domenica Cameron-Scorsese | Statement: [Roots in Water, hasCreativeControl, Domenica Cameron-Scorsese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCreativeControl Context triple: [Roots in Water, hasCreativeControl, Domenica Cameron-Scorsese]
-
A.
hasCreativeScope
Indicates that one entity possesses authority or responsibility to make creative decisions or contributions within a defined domain or project.
-
B.
hasArtistControl
Indicates that one entity exercises creative or managerial authority over an artist or artistic work.
-
C.
hasCreativeModel
Indicates that an entity is associated with or utilizes a particular creative model (e.g., a generative or design model) for producing creative outputs.
-
D.
hasCreativeWorkStatus
Indicates the current state or condition of a creative work within its lifecycle (e.g., planned, in progress, completed, or published).
-
E.
hasWritingCreditOn
Indicates that an entity is credited as a writer or co-writer for a particular work or production.
- F. None of above. chosen
Provenance (4 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_69f3490cdda88190a9d61e11252a771f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69f7b0e3917481908a394680d76743c3 |
completed | May 3, 2026, 8:32 p.m. |
Created at: May 1, 2026, 12:40 a.m.