Triple
T3783585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rated R |
E85473
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Tricky Stewart |
E388129
|
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: Tricky Stewart | Statement: [Rated R, producer, Tricky Stewart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tricky Stewart Context triple: [Rated R, producer, Tricky Stewart]
-
A.
Tricky Stewart
Tricky Stewart is an American record producer and songwriter known for crafting numerous chart-topping R&B and pop hits for major artists.
-
B.
Christopher "Tricky" Stewart
chosen
Christopher "Tricky" Stewart is an American record producer and songwriter known for crafting numerous chart-topping R&B and pop hits for major artists.
-
C.
Eric Blore
Eric Blore was an English character actor best known for his comic portrayals of butlers and valets in 1930s and 1940s Hollywood films.
-
D.
Dave Stewart
Dave Stewart is a former Major League Baseball pitcher best known as a dominant ace for the Oakland Athletics during the late 1980s and early 1990s.
-
E.
Suggs
Suggs is a surname shared by various notable individuals across fields such as sports, music, and entertainment.
- 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee3dc6590819098dda08206206612 |
completed | March 9, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5121874e8819088f79e1cf771a73a |
completed | March 14, 2026, 7:45 a.m. |
Created at: March 9, 2026, 3:13 p.m.