Triple
T3497472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tricky Stewart |
E73885
|
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: [Tricky Stewart, notableWork, Umbrella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Umbrella Context triple: [Tricky Stewart, 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.
In the Rain
"In the Rain" is a song best known as a soulful 1971 hit by the American R&B group The Dramatics, featuring lush production and emotive vocals.
- 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_69ad85cdb6e48190a335d412b9194ed8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbd299ec8190b76b165b2fd70537 |
completed | March 8, 2026, 6:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b373d011c0819088245afe03be3c44 |
completed | March 13, 2026, 2:17 a.m. |
Created at: March 8, 2026, 3:18 p.m.