Triple
T23550899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Am Mine |
E578039
|
entity |
| Predicate | bSide |
P15273
|
FINISHED |
| Object | Down |
—
|
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: Down | Statement: [I Am Mine, bSide, Down]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Down Context triple: [I Am Mine, bSide, Down]
-
A.
Down
Down is a 1994 noise rock album by The Jesus Lizard, noted for its abrasive sound, dark humor, and influential place in the American underground rock scene.
-
B.
Down
Down is an American heavy metal supergroup known for its sludgy, doom-influenced sound and featuring members from prominent bands like Pantera and Corrosion of Conformity.
-
C.
Down
Down is a historic county in Northern Ireland known for its coastal landscapes, the Mourne Mountains, and its role in Irish and British history.
-
D.
Down
"Down" is a 2009 R&B-pop single by British singer Jay Sean featuring Lil Wayne that became an international hit and topped the US Billboard Hot 100.
-
E.
Down
chosen
"Down" is a melodic, emotionally driven rock song by Blink-182 known for its atmospheric sound and introspective lyrics.
- 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_69e245fa93448190919cb04534560542 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aece662081909022e7a29f966ca3 |
completed | April 29, 2026, 7:10 a.m. |
Created at: April 17, 2026, 6:11 p.m.