Triple
T8842058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Drink Wine |
E210410
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | 30 |
E210415
|
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: 30 | Statement: [I Drink Wine, album, 30]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 30 Context triple: [I Drink Wine, album, 30]
-
A.
30
chosen
30 is Adele’s critically acclaimed third studio album, known for its soulful ballads and themes of heartbreak and self-reflection.
-
B.
40
40 is the professional name of Noah "40" Shebib, a Canadian record producer, songwriter, and engineer best known for his long-standing collaboration with Drake and shaping the sound of modern hip-hop and R&B.
-
C.
300
300 is a 2006 stylized action film directed by Zack Snyder that dramatizes the Battle of Thermopylae through hyper-visual, graphic novel-inspired imagery.
-
D.
10
"10" is a studio album by Scottish pop band Wet Wet Wet, showcasing their melodic soft rock and pop sound in the late 1990s.
-
E.
25
25 is Adele’s third studio album, a critically acclaimed and commercially successful record known for its soulful ballads and the hit single "Hello."
- 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_69ca838967bc8190b46c3c80a2887ea4 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60876c6c8190b1b490e447e1cf4b |
completed | April 1, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba0934288190bc22dfee0a13124e |
completed | April 3, 2026, 1 p.m. |
Created at: March 30, 2026, 6:48 p.m.