Triple
T19667084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Type O Negative |
E472226
|
entity |
| Predicate | studioAlbum |
P25507
|
FINISHED |
| Object | Life Is Killing Me |
—
|
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: Life Is Killing Me | Statement: [Type O Negative, studioAlbum, Life Is Killing Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Life Is Killing Me Context triple: [Type O Negative, studioAlbum, Life Is Killing Me]
-
A.
Life Is Killing Me
chosen
Life Is Killing Me is a 2003 studio album by gothic metal band Type O Negative, known for its dark humor, melancholic themes, and heavy, atmospheric sound.
-
B.
Death of Me
"Death of Me" is a song by the American punk rock band Ramones from their 1987 album "Halfway to Sanity."
-
C.
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.
-
D.
Die with Me
Die with Me is a 2001 thriller film in which former child star Jake Lloyd plays a central role in a dark, suspenseful narrative.
-
E.
You Kill Me
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.
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e641694e448190bc734c07ae2df024 |
completed | April 20, 2026, 3:08 p.m. |
Created at: April 10, 2026, 1:45 p.m.