Triple
T10648813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monica Bellucci |
E250907
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Shoot 'Em Up |
E550146
|
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: Shoot 'Em Up | Statement: [Monica Bellucci, notableWork, Shoot 'Em Up]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shoot 'Em Up Context triple: [Monica Bellucci, notableWork, Shoot 'Em Up]
-
A.
Shoot 'Em Up
chosen
Shoot 'Em Up is a 2007 over-the-top action film known for its stylized gunfights, dark humor, and frenetic pacing.
-
B.
Ballout
Ballout is a Chicago drill rapper closely affiliated with Chief Keef’s Glo Gang collective.
-
C.
Shooter
"Shooter" is a track from Lil Wayne's album *Tha Carter II*, known for its introspective lyrics and melodic, laid-back production.
-
D.
Shooter
"Shooter" is a 2007 American action thriller film, based on Stephen Hunter's novel "Point of Impact," about a former Marine sniper framed for an assassination plot.
-
E.
Lethal Orbit
Lethal Orbit is a film featuring actress Carrie Mitchum in a prominent role.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfe3ea08819094a945ebb7fc4d3a |
completed | April 8, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a60fdd881908987f920a19bb41e |
completed | April 10, 2026, 10:32 p.m. |
Created at: April 8, 2026, 9:06 p.m.