Triple
T3783261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umbrella |
E85467
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Kuk Harrell |
E388130
|
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: Kuk Harrell | Statement: [Umbrella, producer, Kuk Harrell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kuk Harrell Context triple: [Umbrella, producer, Kuk Harrell]
-
A.
Kuk Harrell
chosen
Kuk Harrell is a Grammy-winning American vocal producer and songwriter best known for crafting and recording hit vocals for major pop and R&B artists such as Rihanna, Beyoncé, and Justin Bieber.
-
B.
Damani Leech
Damani Leech is an American sports executive known for his leadership roles in professional football, including serving as president of the Denver Broncos.
-
C.
Kerry Kittles
Kerry Kittles is a former American basketball guard best known as a star at Villanova University and a key scorer for the NBA’s New Jersey Nets in the late 1990s and early 2000s.
-
D.
Andell Wilkerson
Andell Wilkerson is a witty, down-to-earth supporting character from the sitcom "Moesha," known for being Moesha's close friend and a source of comic relief and guidance.
-
E.
Ariyon Bakare
Ariyon Bakare is a British actor known for his work in television, film, and theatre, including prominent roles in genre series and dramas.
- 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_69b4fb19229c8190a6f0ee4ae7f52dab |
completed | March 14, 2026, 6:07 a.m. |
Created at: March 9, 2026, 3:13 p.m.