Triple
T6362620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Topsy-Turvy |
E143146
|
entity |
| Predicate | distributedBy |
P1951
|
FINISHED |
| Object | USA Films |
E318201
|
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: USA Films | Statement: [Topsy-Turvy, distributedBy, USA Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: USA Films Context triple: [Topsy-Turvy, distributedBy, USA Films]
-
A.
USA Films
chosen
USA Films was an American independent film distribution company known for releasing critically acclaimed art-house and specialty films in the late 1990s and early 2000s.
-
B.
American cinema
American cinema is the film industry and body of motion pictures produced in the United States, best known for Hollywood’s global influence on popular culture and filmmaking.
-
C.
Company Films
Company Films is a film production company known for producing the science fiction drama movie "Passengers."
-
D.
October Films
October Films was an American independent film distribution company known for releasing critically acclaimed arthouse and foreign films in the 1990s.
-
E.
Fox Movies
Fox Movies is a pay television movie channel brand known for broadcasting a wide range of Hollywood and international films across various global markets.
- 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_69c008d7a9c4819098d647ec47776917 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0680c02b481908618317566e31a5c |
completed | March 22, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d73a6ac8190a02602c3506e4226 |
completed | March 27, 2026, 7:10 a.m. |
Created at: March 22, 2026, 4:32 p.m.