Triple
T7742138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dopey |
E175534
|
entity |
| Predicate | filmTypeOfOrigin |
P9709
|
FINISHED |
| Object | feature-length animated 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: feature-length animated film | Statement: [Dopey, filmTypeOfOrigin, feature-length animated film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmTypeOfOrigin Context triple: [Dopey, filmTypeOfOrigin, feature-length animated film]
-
A.
filmCountryOfOrigin
Indicates the country where a film was originally produced or created.
-
B.
filmType
chosen
Indicates the specific category or genre that a film belongs to.
-
C.
filmTypeContext
Indicates the contextual relationship between a film and its type or category within a specific classification or usage setting.
-
D.
filmBase
Indicates the primary location or headquarters from which a film-related entity (such as a production, company, or operation) is based or operates.
-
E.
nationalCinema
Indicates that a film or cinematic work is associated with, produced by, or representative of a particular nation’s cinema.
- 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_69c6995f9c60819092e386192bd63c6f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70402169481909b219dc5f4a64b9b |
completed | March 27, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69c7016c4a748190a7012030edaefcee |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:07 p.m.