Triple
T20297799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A United Kingdom |
E505397
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | BBC Films |
—
|
NE NERFINISHED |
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: BBC Films | Statement: [A United Kingdom, productionCompany, BBC Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BBC Films Context triple: [A United Kingdom, productionCompany, BBC Films]
-
A.
BBC Films
chosen
BBC Films is the feature film-making arm of the BBC, known for producing and co-producing a wide range of acclaimed British and international movies.
-
B.
BBC Productions
BBC Productions is a television production arm of the British Broadcasting Corporation responsible for creating a wide range of factual and entertainment programming.
-
C.
British Screen Productions
British Screen Productions was a UK-based film production company known for supporting distinctive and often unconventional British and international cinema.
-
D.
Shaftesbury Films
Shaftesbury Films is a Canadian television and film production company known for creating popular series such as Murdoch Mysteries.
-
E.
Arrow Films
Arrow Films is a British home video and film distribution company known for releasing cult, classic, and genre cinema in high-quality restored editions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b8ab648190906e18538c250148 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677095fb481909806214da4002b59 |
completed | April 20, 2026, 6:57 p.m. |
Created at: April 16, 2026, 11:16 a.m.