Triple
T22947317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rumble Fish (film score) |
E569908
|
entity |
| Predicate | associatedFilmLanguage |
P93753
|
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: [Rumble Fish (film score), associatedFilmLanguage, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedFilmLanguage Context triple: [Rumble Fish (film score), associatedFilmLanguage, English]
-
A.
filmedInLanguage
Indicates that a film or video work was originally recorded using a particular spoken or signed language.
-
B.
workLanguageOfTitle
Indicates the language in which a specific work or title is expressed or written.
-
C.
areSpokenIn
Indicates that a particular language is used as a spoken means of communication within a specified region, community, or context.
-
D.
primaryFilmingLanguage
chosen
Indicates the main language in which a film or audiovisual work was originally filmed or recorded.
-
E.
speaksInFilm
Indicates that a person or character provides spoken dialogue or voice work within a particular film.
- 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_69e2459199d08190a8184ee2aa935842 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1819e559c81909e63acfc23f9476b |
completed | April 29, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69ef3b882e708190b0eb0c87021c75b8 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:46 p.m.