Triple
T12498172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Moore |
E298746
|
entity |
| Predicate | produced |
P490
|
FINISHED |
| Object | Kill Theory |
E987243
|
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: Kill Theory | Statement: [Chris Moore, produced, Kill Theory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kill Theory Context triple: [Chris Moore, produced, Kill Theory]
-
A.
Kill Theory
chosen
Kill Theory is a 2009 American horror-thriller film about a sadistic killer who forces a group of college friends to choose between murdering each other or being killed themselves.
-
B.
Great Kills
Great Kills is a residential neighborhood on Staten Island’s South Shore known for its marina, waterfront parks, and suburban character.
-
C.
Killshot
Killshot is a crime novel by Elmore Leonard that follows a married couple targeted by a pair of hitmen, blending dark humor with tense, character-driven suspense.
-
D.
Kill Dem
Kill Dem is a track featured on the project "Necessary Evil," likely contributing a hard-edged, intense sound to the release.
-
E.
Kill or Be Killed
Kill or Be Killed is a dark, psychologically driven crime-noir comic series by Ed Brubaker that follows a troubled young man compelled to become a vigilante killer under mysterious, possibly supernatural circumstances.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dfa98348190b9ac164ecdada6fe |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65570401c819084f9db2eff5fdf3e |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 9:57 p.m.