Triple
T19946490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drawing Restraint 9 |
E479434
|
entity |
| Predicate | distributor |
P1951
|
FINISHED |
| Object | Tartan 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: Tartan Films | Statement: [Drawing Restraint 9, distributor, Tartan Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tartan Films Context triple: [Drawing Restraint 9, distributor, Tartan Films]
-
A.
Tartan Films
chosen
Tartan Films was a UK-based independent film distribution company known for releasing cult, arthouse, and international cinema, particularly Asian extreme films.
-
B.
Highland Films
Highland Films is a film production company best known for producing the acclaimed historical drama "A Man for All Seasons."
-
C.
Kestrel Films
Kestrel Films is a British film production company best known for producing Ken Loach’s acclaimed 1969 drama "Kes."
-
D.
Rook Films
Rook Films is a British independent film production company known for its distinctive, often surreal and genre-bending movies.
-
E.
Hartswood Films
Hartswood Films is a British television production company best known internationally for creating the hit detective series "Sherlock."
- 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a6725dc81908c55ec5595be6778 |
completed | April 20, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:54 p.m.