Triple
T12009762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SKA Films |
E285875
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Ska Films |
E285875
|
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: Ska Films | Statement: [SKA Films, alternativeName, Ska Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ska Films Context triple: [SKA Films, alternativeName, Ska Films]
-
A.
SKA Films
chosen
SKA Films is a British film production company co-founded by director Matthew Vaughn, known for producing stylish crime and action movies such as "Layer Cake."
-
B.
Skreba Films
Skreba Films is a film production company known for producing the biographical drama "Tom & Viv."
-
C.
Scion Films
Scion Films is a British film production company known for backing acclaimed dramas such as "The Constant Gardener."
-
D.
See-Saw Films
See-Saw Films is a British-Australian film and television production company known for acclaimed works such as the Academy Award–winning drama "The King’s Speech."
-
E.
Shoebox Films
Shoebox Films is a British film production company known for producing independent and auteur-driven movies, including the 2019 thriller "Serenity."
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903d61a4c81909e6cb6500b61df94 |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f642801881909a94d67c99bfd110 |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:46 p.m.