Triple
T8421501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raycon |
E198865
|
entity |
| Predicate | coFoundedBy |
P3263
|
FINISHED |
| Object | Ray J |
E39210
|
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: Ray J | Statement: [Raycon, coFoundedBy, Ray J]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ray J Context triple: [Raycon, coFoundedBy, Ray J]
-
A.
Ray J
chosen
Ray J is an American R&B singer, songwriter, actor, and television personality known for his music career, reality TV appearances, and high-profile relationships.
-
B.
Gary Anthony Williams
Gary Anthony Williams is an American actor and comedian best known for his prolific voice work in animation and video games, as well as appearances in television and film.
-
C.
Dee Jay Mathis
Dee Jay Mathis is an American woman best known for being the first wife of actor James Caan.
-
D.
Phil LaMarr
Phil LaMarr is an American actor and prolific voice actor known for his work on sketch comedy shows and in animated series such as Futurama, Samurai Jack, and Justice League.
-
E.
Tom Dyas
Tom Dyas is a Canadian municipal politician serving as the mayor of Kelowna, British Columbia.
- 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_69ca8312d63c8190bf133b676b44a385 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb84ca7b348190abab25e79b05407f |
completed | March 31, 2026, 8:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1524be8c08190b4d979a677dc5958 |
completed | April 4, 2026, 6:02 p.m. |
Created at: March 30, 2026, 6:06 p.m.