Triple
T13855029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ted Shebib |
E333040
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Noah "40" Shebib |
E333038
|
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: Noah "40" Shebib | Statement: [Ted Shebib, child, Noah "40" Shebib]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noah "40" Shebib Context triple: [Ted Shebib, child, Noah "40" Shebib]
-
A.
Noah "40" Shebib
chosen
Noah "40" Shebib is a Canadian record producer, songwriter, and engineer best known as Drake’s longtime collaborator and co-founder of the OVO Sound label.
-
B.
Kevin Gates
Kevin Gates is an American rapper and singer known for his emotionally raw lyrics, melodic Southern trap sound, and projects like the album "Islah."
-
C.
Lecrae
Lecrae is an American Christian hip hop artist, songwriter, and record producer known for blending faith-based lyrics with mainstream rap and winning multiple Grammy Awards.
-
D.
Waka Flocka Flame
Waka Flocka Flame is an American rapper known for his aggressive trap sound and hits like "No Hands" and "Hard in da Paint."
-
E.
Lyriq Bent
Lyriq Bent is a Canadian actor known for his roles in the Saw film series, the television miniseries Book of Negroes, and various film and TV dramas.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02db9c9c81909bb2d2fbfb7394b1 |
completed | April 14, 2026, 9:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce6c0c3c8190911b56b20c9eb955 |
completed | May 3, 2026, 10:38 p.m. |
Created at: April 9, 2026, 10:14 p.m.