Triple
T7813972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stop and Stare |
E180755
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | Dreaming Out Loud |
E572491
|
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: Dreaming Out Loud | Statement: [Stop and Stare, album, Dreaming Out Loud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dreaming Out Loud Context triple: [Stop and Stare, album, Dreaming Out Loud]
-
A.
Dreaming Out Loud
chosen
Dreaming Out Loud is the debut studio album by American pop-rock band OneRepublic, featuring the hit single "Apologize."
-
B.
Wildest Dreams
"Wildest Dreams" is a song featured on Brandy Norwood's sixth studio album, "Two Eleven."
-
C.
Teenage Dream
"Teenage Dream" is a 2010 pop album by American singer Katy Perry, known for its string of chart-topping singles and bright, nostalgic themes about youth and romance.
-
D.
Beautiful Dreamer
"Beautiful Dreamer" is a famous 19th-century American parlor song, often regarded as one of Stephen Foster's most enduring and sentimental melodies.
-
E.
Get on Up
Get on Up is a 2014 biographical drama film about the life and career of soul music legend James Brown.
- 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_69ca827f6f148190beca4e245b993506 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf96c009c81909726e1653b6f1348 |
completed | March 30, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbded6d1a881909d9816fcd8a55e49 |
completed | March 31, 2026, 2:48 p.m. |
Created at: March 30, 2026, 4:38 p.m.