Triple
T18114509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justin Dior Combs |
E433567
|
entity |
| Predicate | socialMediaHandle |
P2866
|
FINISHED |
| Object | JDior_ |
—
|
NE NERFINISHED |
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: JDior_ | Statement: [Justin Dior Combs, socialMediaHandle, JDior_]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JDior_ Context triple: [Justin Dior Combs, socialMediaHandle, JDior_]
-
A.
JDior_
chosen
JDior_ is the Twitter username of Justin Dior Combs, an American media personality and the son of music mogul Sean "Diddy" Combs.
-
B.
Kumpire Dior
Kumpire Dior is a high mountain peak in the remote Batura Muztagh subrange of the Karakoram in northern Pakistan.
-
C.
Dion Lee
Dion Lee is an Australian fashion designer and eponymous label known for its architectural tailoring, innovative cutouts, and futuristic, sculptural womenswear.
-
D.
Denis of Paris
Denis of Paris is a 3rd-century Christian martyr and bishop, venerated as the patron saint of Paris and traditionally regarded as one of the city’s earliest evangelizers.
-
E.
Dior
"Dior" is a hit drill-rap single by Pop Smoke that became one of his signature songs and a posthumous anthem of his legacy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd4c7888190b85c39decdb0333f |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:28 a.m.