Triple
T4579286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snowden (2016 film) |
E101813
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Wild Bunch |
E322415
|
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: Wild Bunch | Statement: [Snowden (2016 film), productionCompany, Wild Bunch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wild Bunch Context triple: [Snowden (2016 film), productionCompany, Wild Bunch]
-
A.
Wild Bunch
chosen
Wild Bunch is a European film production and distribution company known for backing a wide range of acclaimed international and independent films.
-
B.
Outlaw Productions
Outlaw Productions is a film and television production company known for producing a range of Hollywood genre movies and commercial features.
-
C.
Rhino Films
Rhino Films is an independent film production company known for backing distinctive and often offbeat projects, including the cult classic adaptation of "Fear and Loathing in Las Vegas."
-
D.
Zabivaka
Zabivaka is the wolf character that served as the official mascot for major international football tournaments hosted by Russia, including the 2018 FIFA World Cup.
-
E.
Rumble Films
Rumble Films is an American film production company known for producing independent and genre-driven movies.
- 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_69bd43d4ce208190b53158c882b222e3 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd58e3e028819083c4662deb9f3c03 |
completed | March 20, 2026, 2:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdd3f532dc81909b6c464defada832 |
completed | March 20, 2026, 11:10 p.m. |
Created at: March 20, 2026, 1:10 p.m.