Triple
T6500637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The-Dream |
E148876
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Umbrella |
E85467
|
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: Umbrella | Statement: [The-Dream, notableWork, Umbrella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Umbrella Context triple: [The-Dream, notableWork, Umbrella]
-
A.
Umbrella
chosen
"Umbrella" is a 2007 pop and R&B hit single by Rihanna that became one of her signature songs and a global commercial success.
-
B.
Red Rain
"Red Rain" is a 1986 art rock song by Peter Gabriel, known for its atmospheric production, vivid apocalyptic imagery, and role as the opening track on his acclaimed album *So*.
-
C.
Like the Rain
"Like the Rain" is a popular 1996 country song by Clint Black that became one of his signature hits.
-
D.
Regen
Regen is a small town in the Bavarian Forest region of southeastern Germany, known for its scenic river setting and surrounding natural landscapes.
-
E.
Blu Rain
Blu Rain is the compassionate and determined alternative-school teacher who mentors and advocates for Precious in Sapphire’s novel "Push" and its film adaptation "Precious."
- 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_69c687e9ad288190bae5bcac9c8ac855 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c68ad2e148819088be5c48ad73dc59 |
completed | March 27, 2026, 1:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb26d2d08190a52084c3a8c0d8f8 |
completed | March 27, 2026, 6:23 p.m. |
Created at: March 27, 2026, 1:42 p.m.