Triple
T17328223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jason Kliot |
E420742
|
entity |
| Predicate | coFounded |
P104
|
FINISHED |
| Object | Open City Films |
E1237328
|
NE 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: Open City Films | Statement: [Jason Kliot, coFounded, Open City Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Open City Films Context triple: [Jason Kliot, coFounded, Open City Films]
-
A.
Open City Films
chosen
Open City Films is a film production company known for producing the psychological thriller "Awake" and other independent feature films.
-
B.
City of Film
City of Film is a UNESCO Creative Cities Network title awarded to cities recognized for their rich film heritage, active film industry, and strong commitment to cinema-related culture and education.
-
C.
City of Cinema@en
City of Cinema is the English name for the Cité du Cinéma, a major French film studio complex and audiovisual production hub located near Paris.
-
D.
Film City
Film City is a major media and entertainment production hub in Noida, housing numerous television studios, news channels, and film production facilities.
-
E.
New Yorker Films
New Yorker Films is an American film distribution company known for bringing international, independent, and art-house cinema to U.S. audiences.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d42154819093a240f677a63145 |
completed | April 19, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c4dff088190833122dbe2981045 |
completed | May 11, 2026, 7:59 a.m. |
Created at: April 10, 2026, 5:43 a.m.