Triple
T12333008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kardinal Offishall |
E294008
|
entity |
| Predicate | notableCollaboration |
P8554
|
FINISHED |
| Object | Jully Black |
E757807
|
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: Jully Black | Statement: [Kardinal Offishall, notableCollaboration, Jully Black]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jully Black Context triple: [Kardinal Offishall, notableCollaboration, Jully Black]
-
A.
Jully Black
chosen
Jully Black is a Canadian R&B singer, songwriter, and actress often called the "Queen of R&B" in Canada.
-
B.
Julianna Blake
Julianna Blake is a cunning and enigmatic assassin in the video game "Deathloop," tasked with hunting the protagonist across a time-looping island.
-
C.
Charlotte Riley
Charlotte Riley is an English actress known for her roles in film and television, including appearances in major productions such as "Edge of Tomorrow" and the TV series "Peaky Blinders."
-
D.
Rebecca Caine
Rebecca Caine is a Canadian soprano and musical theatre actress best known for her work in productions such as Les Misérables and The Phantom of the Opera.
-
E.
Lindsay Clare
Lindsay Clare is an Australian architect known for designing prominent public buildings, including major cultural institutions.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f64ad20819080d99e57833b4b51 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62aa12f108190851c6958eb35ee5b |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:53 p.m.