Triple
T12991029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woman of Steel |
E321905
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Vibe |
E517545
|
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: Vibe | Statement: [Woman of Steel, hasPart, Vibe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vibe Context triple: [Woman of Steel, hasPart, Vibe]
-
A.
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.
-
B.
It’s a Vibe
"It’s a Vibe" is a smooth, laid-back hip-hop track by 2 Chainz featuring Ty Dolla $ign, Trey Songz, and Jhené Aiko, known for its mellow production and sensual, atmospheric feel.
-
C.
Vibez
"Vibez" is a popular hip-hop track by American rapper DaBaby, known for its energetic flow and catchy, bass-heavy production.
-
D.
Catch a Vibe
"Catch a Vibe" is a hip-hop track featured on Bow Wow's 2006 album "The Price of Fame."
-
E.
Good Vibes
Good Vibes is an animated television series known for its raunchy teen comedy set in a Southern California surf town.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e7765788190a9503ef055bc30ca |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8fb70f481908a9a4ca04d6bf93b |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 8:43 p.m.