Triple
T14489605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sugar Ray |
E359326
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Super Cat |
E329106
|
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: Super Cat | Statement: [Sugar Ray, associatedAct, Super Cat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Super Cat Context triple: [Sugar Ray, associatedAct, Super Cat]
-
A.
Super Cat
chosen
Super Cat is a pioneering Jamaican dancehall deejay and toaster known for his influential 1980s–1990s recordings and crossover success in bringing dancehall to international audiences.
-
B.
Top Cat
Top Cat is a classic animated television series created by Hanna-Barbera that follows the comedic misadventures of a streetwise alley cat and his gang in New York City.
-
C.
Kitty Kat
"Kitty Kat" is a song by Beyoncé from her 2006 album B'Day.
-
D.
Candy Cat
Candy Cat is a friendly, orange feline character from the children's animated series "Peppa Pig," known for being one of Peppa's school friends.
-
E.
Catz
Catz is the surname of Safra Catz, a prominent business executive best known as the CEO of Oracle Corporation.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de930bd1d48190abd6c47da0a3ebc8 |
completed | April 14, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d90f86081908b25f3eb90042c73 |
completed | May 8, 2026, 4:58 a.m. |
Created at: April 10, 2026, 1:20 a.m.