Triple
T10466135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitchen Venom |
E246798
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Kitchen Venom |
E246798
|
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: Kitchen Venom | Statement: [Kitchen Venom, hasTitle, Kitchen Venom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kitchen Venom Context triple: [Kitchen Venom, hasTitle, Kitchen Venom]
-
A.
Kitchen Venom
chosen
Kitchen Venom is a novel by British writer Philip Hensher, known for its darkly comic and incisive portrayal of political and personal intrigue.
-
B.
Indian Killer
Indian Killer is a dark, literary crime novel by Sherman Alexie that explores themes of identity, racism, and violence through the story of a serial killer targeting white men in Seattle.
-
C.
Kill V. Maim
"Kill V. Maim" is a high-energy, genre-blending electronic pop song by Grimes known for its aggressive vocals, futuristic production, and cult fan following.
-
D.
Ladykiller
"Ladykiller" is a moody, soulful rock song by The Horrible Crowes, the side project of The Gaslight Anthem’s Brian Fallon.
-
E.
Exterminator
Exterminator is a spinning indoor wild mouse roller coaster at Kennywood amusement park known for its dark, themed ride experience.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092d6d408190b6bda4d7ced4601e |
completed | April 7, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89fe6129881908c658ff977e68135 |
completed | April 10, 2026, 6:59 a.m. |
Created at: April 6, 2026, 12:19 p.m.