Triple
T13059722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OVO Sound |
E329165
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Oliver El-Khatib |
E1018785
|
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: Oliver El-Khatib | Statement: [OVO Sound, associatedAct, Oliver El-Khatib]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oliver El-Khatib Context triple: [OVO Sound, associatedAct, Oliver El-Khatib]
-
A.
Oliver El-Khatib
chosen
Oliver El-Khatib is a Canadian music executive and entrepreneur best known as a co-founder and key creative director behind Drake’s OVO Sound brand and label.
-
B.
Liam Messam
Liam Messam is a former New Zealand rugby union forward who played for the All Blacks and the Chiefs, known for his powerful ball-carrying and leadership.
-
C.
Walid Guirguis
Walid Guirguis is a screenwriter best known for his work on the 1951 film "M."
-
D.
Anthony Ghannam
Anthony Ghannam is an American voice actor best known for his role in the animated film "Bambi II."
-
E.
Fady Elsayed
Fady Elsayed is a British actor known for his roles in film and television, including the Doctor Who spin-off series "Class."
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980be37208190962e91f1e19df159 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d6016984819097c999772db1e831 |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 8:58 p.m.