Triple
T17336181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuart Urban |
E420938
|
entity |
| Predicate | screenwriterOf |
P2831
|
FINISHED |
| Object | May I Kill U? |
—
|
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: May I Kill U? | Statement: [Stuart Urban, screenwriterOf, May I Kill U?]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: May I Kill U? Context triple: [Stuart Urban, screenwriterOf, May I Kill U?]
-
A.
May I Kill U?
chosen
May I Kill U? is a dark comedy thriller film written and directed by Stuart Urban that satirically follows a morally unhinged police officer who becomes a vigilante killer.
-
B.
Kill You
"Kill You" is a controversial and aggressive rap song by Eminem from his acclaimed album "The Marshall Mathers LP."
-
C.
Miss U Die
"Miss U Die" is a popular Afrobeats/R&B song by Nigerian music duo P-Square, known for its emotional lyrics and danceable rhythm.
-
D.
Kill Me Later
Kill Me Later is a 2001 darkly comic British-Canadian crime thriller film about a suicidal bank employee caught up in a botched robbery and taken hostage.
-
E.
Killer Is Me
"Killer Is Me" is a song by American rock band Alice in Chains, known for its appearance on their 1996 MTV Unplugged performance.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a121aa081908a62fa59d3d28765 |
completed | April 19, 2026, 2:12 a.m. |
Created at: April 10, 2026, 5:43 a.m.