Triple
T19715736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samara Weaving |
E473471
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Guns Akimbo |
—
|
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: Guns Akimbo | Statement: [Samara Weaving, notableWork, Guns Akimbo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guns Akimbo Context triple: [Samara Weaving, notableWork, Guns Akimbo]
-
A.
Guns Akimbo
chosen
Guns Akimbo is a 2019 action-comedy film in which a man is forced to participate in a deadly live-streamed death match after guns are bolted to his hands.
-
B.
Guncrazy
Guncrazy is a 1992 crime thriller film about a troubled teenage girl drawn into a violent relationship with an ex-con, noted for its dark, character-driven take on obsession and violence.
-
C.
Gunzibs
Gunzibs are a small indigenous ethnic group from Dagestan in the North Caucasus, traditionally speaking the Gunzib language and living in mountainous rural communities.
-
D.
Ballout
Ballout is a Chicago drill rapper closely affiliated with Chief Keef’s Glo Gang collective.
-
E.
Melt the Guns
"Melt the Guns" is a politically charged anti-violence song by the English post-punk band XTC, featured on their 1980 album "English Settlement."
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6440cb47c81908124dfbd6f781d23 |
completed | April 20, 2026, 3:19 p.m. |
Created at: April 10, 2026, 1:46 p.m.