Triple
T20212830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Violet Berlin |
E493532
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Bad Influence! |
—
|
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: Bad Influence! | Statement: [Violet Berlin, notableWork, Bad Influence!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Influence! Context triple: [Violet Berlin, notableWork, Bad Influence!]
-
A.
Bad Influence
"Bad Influence" is a breakout Afrobeats single by Nigerian singer Omah Lay that blends mellow rhythms with introspective lyrics about emotional turmoil and toxic relationships.
-
B.
Bad Influence
chosen
Bad Influence is a segment from the British children's television series "Fun House" that focused on video games and technology.
-
C.
Bad Influence
Bad Influence is a 1990 psychological thriller film about a timid yuppie whose life spirals out of control after he befriends a mysterious and dangerous stranger.
-
D.
Under the Influence
"Under the Influence" is a collaborative rap track by Eminem and his group D12, known for its dark humor and explicit lyrics.
-
E.
Under the Influence
Under the Influence is a work by Canadian filmmaker and writer Martyn Burke, known for his satirical and socially observant storytelling.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ed6fe888190b553ba6879cb2d8d |
completed | April 20, 2026, 6:22 p.m. |
Created at: April 11, 2026, 11:38 p.m.