Triple
T15711065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cinema Italiano |
E380836
|
entity |
| Predicate | filmSourceMaterial |
P53073
|
FINISHED |
| Object | 1963 film 8½ by Federico Fellini (via Nine) |
—
|
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: 1963 film 8½ by Federico Fellini (via Nine) | Statement: [Cinema Italiano, filmSourceMaterial, 1963 film 8½ by Federico Fellini (via Nine)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmSourceMaterial Context triple: [Cinema Italiano, filmSourceMaterial, 1963 film 8½ by Federico Fellini (via Nine)]
-
A.
filmBase
Indicates the primary location or headquarters from which a film-related entity (such as a production, company, or operation) is based or operates.
-
B.
filmMedium
Indicates the physical or technical format (such as film stock, digital, or video) in which a film is recorded or presented.
-
C.
materialSource
chosen
Indicates that one entity serves as the origin or provider of the material or substance used by another entity.
-
D.
filmType
Indicates the specific category or genre that a film belongs to.
-
E.
filmTypeContext
Indicates the contextual relationship between a film and its type or category within a specific classification or usage setting.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f8f5d6081908243fa59b46b7c76 |
completed | April 16, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69e00526759c819088b80d85138b8974 |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:45 a.m.