Triple
T21985094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seediq Bale |
E542936
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | ARLTA Film |
E542936
|
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: ARLTA Film | Statement: [Seediq Bale, producer, ARLTA Film]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ARLTA Film Context triple: [Seediq Bale, producer, ARLTA Film]
-
A.
ARLTA Film
chosen
ARLTA Film is a Taiwanese film production company known for producing the acclaimed historical epic "Seediq Bale."
-
B.
Argus Film
Argus Film is a film production company known for its involvement in notable European art-house cinema such as Lars von Trier’s "Breaking the Waves."
-
C.
Arsenal Kino
Arsenal Kino is a renowned Berlin art-house cinema and film archive known for its curated programs of experimental, independent, and international films.
-
D.
Lippert Films
Lippert Films was an American independent film distribution and production company active in the mid-20th century, known for handling low-budget genre movies.
-
E.
Cinema Verity
Cinema Verity was a British independent television and film production company founded by influential producer Verity Lambert, known for creating a range of acclaimed dramas and comedies.
- 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12708cdcc81909511d9f81bd8f20e |
completed | April 28, 2026, 9:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a6d7d735081909b86cafe3bc85186 |
completed | May 18, 2026, 1:38 a.m. |
Created at: April 16, 2026, 8:04 p.m.