Triple
T4365974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justin Dior Combs |
E98772
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Justin Dior Combs |
E98772
|
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: Justin Dior Combs | Statement: [Justin Dior Combs, name, Justin Dior Combs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Justin Dior Combs Context triple: [Justin Dior Combs, name, Justin Dior Combs]
-
A.
Justin Dior Combs
chosen
Justin Dior Combs is an American socialite, former college football player, and media personality best known as the son of hip-hop mogul Sean "Diddy" Combs.
-
B.
Chance Combs
Chance Combs is the daughter of rapper and entrepreneur Sean "Diddy" Combs and model Sarah Chapman.
-
C.
Cody Chesnutt
Cody Chesnutt is an American singer-songwriter and guitarist known for his raw, genre-blending soul, rock, and R&B music and his influential early-2000s work.
-
D.
Christian Combs
Christian Combs, also known as King Combs, is an American rapper, model, and the son of music mogul Sean "Diddy" Combs.
-
E.
Richard Tee
Richard Tee was an American pianist, organist, and studio musician renowned for his soulful, gospel-influenced keyboard work on countless pop, R&B, and jazz recordings from the 1970s and 1980s.
- 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35200263081909bb326a4d7a8db99 |
completed | March 12, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbcbbd1881908eb9f0ea6b2fe16b |
completed | March 14, 2026, 10:06 p.m. |
Created at: March 12, 2026, 11:17 p.m.