Triple
T8447540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ewen Bremner |
E199712
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Snowpiercer |
E78367
|
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: Snowpiercer | Statement: [Ewen Bremner, appearedIn, Snowpiercer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snowpiercer Context triple: [Ewen Bremner, appearedIn, Snowpiercer]
-
A.
Snowpiercer (US distribution)
chosen
Snowpiercer (US distribution) is the U.S. release version of Bong Joon-ho’s post-apocalyptic sci-fi film, handled and edited for American audiences by The Weinstein Company.
-
B.
It Comes at Night
It Comes at Night is a 2017 psychological horror film about a family struggling to survive a mysterious, deadly contagion in an isolated house.
-
C.
Train to Busan
Train to Busan is a critically acclaimed South Korean zombie thriller film that follows passengers fighting for survival during a viral outbreak on a speeding train.
-
D.
Station Eleven
Station Eleven is a post-apocalyptic novel by Emily St. John Mandel, later adapted into a television miniseries, that explores art, memory, and human connection after a devastating pandemic.
-
E.
Silo
Silo is a dystopian science fiction television series in which David Oyelowo appears, set in an underground society governed by strict rules and secrets.
- 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_69ca83170f9081909cd98f55614c6476 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe44480ec8190b32443a53cd4f943 |
completed | March 31, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1db6330c81909c853c453fddf3c5 |
completed | April 2, 2026, 7:41 a.m. |
Created at: March 30, 2026, 6:09 p.m.