Triple
T5616809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sufjan Stevens |
E147496
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | Silver & Gold |
E130309
|
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: Silver & Gold | Statement: [Sufjan Stevens, album, Silver & Gold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silver & Gold Context triple: [Sufjan Stevens, album, Silver & Gold]
-
A.
Silver and Gold
chosen
"Silver and Gold" is a blues-rock song by U2, originally written in support of the anti-apartheid movement and later featured on their album and film project *Rattle and Hum*.
-
B.
Star Gold
Star Gold is an Indian Hindi-language movie television channel known for broadcasting a wide range of Bollywood films.
-
C.
Golden
"Golden" is a soulful R&B song by Jill Scott that celebrates personal freedom, self-love, and empowerment.
-
D.
Golden
Golden is a small town in southeastern British Columbia, Canada, known as a gateway to the Rocky Mountains and several nearby national parks.
-
E.
Silver
Silver is a lustrous, highly conductive precious metal widely used in jewelry, industry, and currency throughout history.
- 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_69c00905d4588190bd967842bbcf2219 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c021da7f848190bb1cd0270ad6398f |
completed | March 22, 2026, 5:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d55b95c8190a5f3e2c05249c136 |
completed | March 22, 2026, 8:13 p.m. |
Created at: March 22, 2026, 3:40 p.m.