Triple
T16849175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | There’s Alot Going On |
E409624
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Liquor Locker |
E409631
|
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: Liquor Locker | Statement: [There’s Alot Going On, hasTrack, Liquor Locker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liquor Locker Context triple: [There’s Alot Going On, hasTrack, Liquor Locker]
-
A.
Liquor Locker
chosen
"Liquor Locker" is a song by American rapper Vic Mensa that showcases his melodic style and introspective lyricism.
-
B.
Liquor City
Liquor City is the nickname of Luzhou, a Chinese city renowned for its long-standing tradition and large-scale production of strong distilled spirits, especially baijiu.
-
C.
Last Drinks
Last Drinks is a crime novel by Australian author Andrew McGahan that explores political corruption, alcoholism, and moral decay in contemporary Brisbane.
-
D.
Chosen Spirits
Chosen Spirits is a near-future speculative fiction novel by Indian author Samit Basu that explores surveillance, social media, and political unrest in a dystopian Delhi.
-
E.
Last Drink
"Last Drink" is a song by the artist No Said Date.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b377b5d881909f0878dd9957f3bc |
completed | April 18, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb1f02648190937c692af83843dc |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:24 a.m.