Triple
T22574272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | You're Next |
E544350
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | HanWay 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: HanWay Films | Statement: [You're Next, productionCompany, HanWay Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HanWay Films Context triple: [You're Next, productionCompany, HanWay Films]
-
A.
HanWay Films
chosen
HanWay Films is a British independent film production and international sales company known for backing and distributing a wide range of arthouse and prestige films.
-
B.
Causeway Films
Causeway Films is an Australian independent film production company known for critically acclaimed genre and arthouse features such as the horror film "The Babadook."
-
C.
Waverly Films
Waverly Films is a Brooklyn-based film and video production collective known for its offbeat comedy shorts, music videos, and collaborations with major studios and brands.
-
D.
Highland Films
Highland Films is a film production company best known for producing the acclaimed historical drama "A Man for All Seasons."
-
E.
Cineyug Films
Cineyug Films is an Indian film production company known for backing major Bollywood projects and entertainment ventures.
- 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15fec296481908a6101b02e5bedaa |
completed | April 29, 2026, 1:33 a.m. |
Created at: April 16, 2026, 8:53 p.m.