Triple
T12531140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suffragette |
E299565
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Ruby Films |
E570594
|
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: Ruby Films | Statement: [Suffragette, productionCompany, Ruby Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruby Films Context triple: [Suffragette, productionCompany, Ruby Films]
-
A.
Ruby Films
chosen
Ruby Films is a British film and television production company known for producing high-quality period dramas and literary adaptations.
-
B.
Daiei Film
Daiei Film was a major Japanese film studio best known for producing classic kaiju and genre films, including the Gamera series.
-
C.
Queen Films
Queen Films is a production company associated with the rock band Queen, involved in developing and producing film projects related to the band and its legacy.
-
D.
Imagine Films
Imagine Films is a film production division associated with the American entertainment company Imagine Entertainment, known for developing and producing motion pictures.
-
E.
Shochiku
Shochiku is a major Japanese film and theater production and distribution company, historically known for its influential role in the development of Japanese cinema.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95469d100819087c83bc55e3ec9ce |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bc8866c81908821525b595715e2 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.