Triple
T5557892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Very Idea (1920 film) |
E145691
|
entity |
| Predicate | filmForm |
P24651
|
FINISHED |
| Object | black-and-white 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: black-and-white film | Statement: [The Very Idea (1920 film), filmForm, black-and-white film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmForm Context triple: [The Very Idea (1920 film), filmForm, black-and-white film]
-
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.
film
Indicates that an entity is a movie or cinematic work, or that a relationship involves such a movie.
-
C.
filmType
Indicates the specific category or genre that a film belongs to.
-
D.
filmMedium
chosen
Indicates the physical or technical format (such as film stock, digital, or video) in which a film is recorded or presented.
-
E.
filmMovement
Indicates the cinematic movement or stylistic school with which a film is associated.
- 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_69c008fcaf788190bafa02a1917ee73b |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0201529a88190bf0135e032b048ea |
completed | March 22, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69c01b10bbf8819098655839c03b7832 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:36 p.m.