Triple
T6234808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kasseem Daoud Dean |
E139448
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Upgrade U |
E139454
|
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: Upgrade U | Statement: [Kasseem Daoud Dean, notableWork, Upgrade U]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Upgrade U Context triple: [Kasseem Daoud Dean, notableWork, Upgrade U]
-
A.
Upgrade U
chosen
"Upgrade U" is a 2006 hip-hop/R&B song by Beyoncé featuring Jay-Z, known for its luxurious themes and Swizz Beatz's distinctive production.
-
B.
Upgrade
Upgrade is a bio-mechanical alien from the Ben 10 franchise with the ability to merge with and technologically enhance machines.
-
C.
UPG
UPG is the IATA airport code for Sultan Hasanuddin International Airport serving Makassar in South Sulawesi, Indonesia.
-
D.
UP
UP is the standard reporting mark used to identify rail equipment owned or operated by the Union Pacific Railroad in North America.
-
E.
UP
UP is a leading South African public research university located in Pretoria, known for its comprehensive range of academic programs and strong research output.
- 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_69c008b0e7ac8190808a59573ee646f3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062f103a08190b1fb44234832178e |
completed | March 22, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20df60e488190933b7fa068e96cc4 |
completed | March 24, 2026, 4:07 a.m. |
Created at: March 22, 2026, 4:22 p.m.