Triple
T8860938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christopher Markus |
E210884
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | You Kill Me |
E739681
|
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: You Kill Me | Statement: [Christopher Markus, notableWork, You Kill Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: You Kill Me Context triple: [Christopher Markus, notableWork, You Kill Me]
-
A.
You Kill Me
chosen
You Kill Me is a 2007 dark comedy crime film about an alcoholic hitman trying to reform his life, directed by John Dahl and starring Ben Kingsley and Téa Leoni.
-
B.
You Go Kill Me
"You Go Kill Me" is a popular Azonto-era hip hop/afrobeats track by Ghanaian rapper Sarkodie that helped boost his mainstream success across Africa.
-
C.
Death of Me
"Death of Me" is a song by the American punk rock band Ramones from their 1987 album "Halfway to Sanity."
-
D.
Kill Me Again
Kill Me Again is a 1989 neo-noir crime thriller film directed by John Dahl, known for its stylish blend of suspense, dark humor, and classic noir themes.
-
E.
You Ruin Me
"You Ruin Me" is a piano-driven pop ballad by Australian duo The Veronicas, known for its raw, emotional vocals and themes of heartbreak and betrayal.
- 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_69ca838bbddc8190ab546d737e5d350f |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60e860888190a8a8702377db949e |
completed | April 1, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa0b94f5481909902b5fa405a502f |
completed | April 3, 2026, 11:12 a.m. |
Created at: March 30, 2026, 6:50 p.m.