Triple
T33736757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Officer Jim Kurring |
E864435
|
entity |
| Predicate | filmLanguageOfWork |
P103547
|
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: [Officer Jim Kurring, filmLanguageOfWork, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmLanguageOfWork Context triple: [Officer Jim Kurring, filmLanguageOfWork, English]
-
A.
filmLanguageFormat
Indicates the specific language and presentation format (e.g., dubbed, subtitled, original audio) in which a film is released or available.
-
B.
filmedInLanguage
chosen
Indicates that a film or video work was originally recorded using a particular spoken or signed language.
-
C.
basedInFilmLanguage
Indicates that something is created, presented, or expressed using the language employed in a particular film.
-
D.
workLanguageOfTitle
Indicates the language in which a specific work or title is expressed or written.
-
E.
areSpokenIn
Indicates that a particular language is used as a spoken means of communication within a specified region, community, or context.
- 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_69f3498b24b8819096a65009e521d0e1 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb26299081908bcf2f0e60d6caf7 |
completed | May 3, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69f6f96dd4c8819093d6a7bd046a9ad5 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:44 a.m.