Triple
T3194255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wouldn't Leave |
E66897
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Ye (album) |
E330233
|
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: Ye (album) | Statement: [Wouldn't Leave, partOf, Ye (album)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ye (album) Context triple: [Wouldn't Leave, partOf, Ye (album)]
-
A.
Ye (album)
chosen
Ye is a 2018 studio album by American rapper and producer Kanye West, noted for its introspective themes, minimalist production, and exploration of mental health and personal controversy.
-
B.
YEO
YEO is the IATA airport code for RNAS Yeovilton, a major Royal Navy air station in Somerset, England.
-
C.
Ya Ya
"Ya Ya" is a track from Beyoncé's genre-blending album "Cowboy Carter," showcasing her fusion of country, R&B, and pop influences.
-
D.
Ayo (album)
Ayo is the second studio album by Nigerian artist Wizkid, featuring the hit single "Ojuelegba" and blending Afrobeats with contemporary pop influences.
-
E.
Eat Your Young
"Eat Your Young" is a 2023 song by Irish musician Hozier that blends soulful vocals with dark, socially charged lyrics.
- 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_69ad8588ba18819086a10951c32ecb80 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada714dbcc8190a7ad21b3c957f151 |
completed | March 8, 2026, 4:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b24bae63688190b2a1a1dba8b2cffa |
completed | March 12, 2026, 5:14 a.m. |
Created at: March 8, 2026, 3:07 p.m.