Triple
T10089702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hands of Orlac (working title) |
E215310
|
entity |
| Predicate | appliedToFilmLanguage |
P52200
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [The Hands of Orlac (working title), appliedToFilmLanguage, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliedToFilmLanguage Context triple: [The Hands of Orlac (working title), appliedToFilmLanguage, English]
-
A.
notableLanguageOfEligibleFilms
Indicates that there is a notable language associated with the set of films that qualify as eligible under a given criterion or program.
-
B.
areSpokenIn
Indicates that a particular language is used as a spoken means of communication within a specified region, community, or context.
-
C.
languageSpokenOnScreen
chosen
Indicates that a particular language is used in spoken dialogue or audible communication within an on-screen work (such as a film, show, or video).
-
D.
usedInProductionOfFilm
Indicates that something (such as a resource, tool, or material) was utilized during the making or production process of a film.
-
E.
originalLanguageOfFilmOrTVShow
Indicates the language in which a film or TV show was originally produced and released.
- 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_69ca83a1eed081908b2e9580f2ebeea7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd05960008190baecb8e4c9f2461f |
completed | April 2, 2026, 2:11 a.m. |
| PD | Predicate disambiguation | batch_69cd4b97870481908f7a89df10d58a9e |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:01 p.m.