Triple
T9349493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clive Owen |
E224977
|
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: [Clive Owen, notableWork, Shoot 'Em Up]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shoot 'Em Up Context triple: [Clive Owen, 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.
Shooter
"Shooter" is a track from Lil Wayne's album *Tha Carter II*, known for its introspective lyrics and melodic, laid-back production.
-
C.
Lethal Orbit
Lethal Orbit is a film featuring actress Carrie Mitchum in a prominent role.
-
D.
Gunplay
Gunplay is an American rapper from Miami known for his gritty street-oriented lyrics and affiliation with Rick Ross’s Maybach Music Group.
-
E.
Ballblazer
Ballblazer is a pioneering 1984 split-screen, one-on-one futuristic sports video game developed by Lucasfilm Games, known for its fast-paced first-person action and innovative procedural music.
- 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_69ca842abfd48190949d71c3b86eeba8 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f1198b88190adc0b01f7c1be36e |
completed | April 1, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e43c31008190b542a9c5aa33f30e |
completed | April 4, 2026, 10:13 a.m. |
Created at: March 30, 2026, 7:41 p.m.