Triple
T21010959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vibe |
E517545
|
entity |
| Predicate | hasOnlinePresence |
P57
|
FINISHED |
| Object | Vibe.com |
—
|
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: Vibe.com | Statement: [Vibe, hasOnlinePresence, Vibe.com]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vibe.com Context triple: [Vibe, hasOnlinePresence, Vibe.com]
-
A.
Vibe magazine
Vibe magazine is an American music and entertainment publication best known for its coverage of hip hop, R&B, and urban culture.
-
B.
Vibe
chosen
Vibe is an influential American music and culture magazine, founded by Quincy Jones, known for its extensive coverage of hip hop and R&B and its role in shaping 1990s urban music journalism.
-
C.
Vibe
Vibe is the superhero identity of Cisco Ramon, a metahuman with powerful vibration and dimensional manipulation abilities in the DC Comics universe.
-
D.
Vibe
Vibe is a compact hatchback car model produced by Pontiac in the 2000s, known for its practicality, fuel efficiency, and shared engineering with the Toyota Matrix.
-
E.
Vibes
Vibes is a 1988 fantasy-comedy film starring Cyndi Lauper and Jeff Goldblum as psychics on a treasure-hunting adventure in South America.
- 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_69e0b50192308190a284fcc89dd23a49 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc3fdf3c8190abd3db7f5eb503a0 |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:53 p.m.