Triple
T8988854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Lie |
E214736
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Aubrey Graham |
E65206
|
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: Aubrey Graham | Statement: [No Lie, writer, Aubrey Graham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aubrey Graham Context triple: [No Lie, writer, Aubrey Graham]
-
A.
Aubrey Graham
chosen
Aubrey Graham, better known by his stage name Drake, is a Canadian rapper, singer, songwriter, and actor who became one of the most influential figures in contemporary hip hop and R&B.
-
B.
Jeremy Bieber
Jeremy Bieber is a Canadian man best known as the father of pop singer Justin Bieber.
-
C.
Drake Bell
Drake Bell is an American actor, voice actor, and musician best known for his starring role on the Nickelodeon series "Drake & Josh" and various voice roles in animated superhero shows.
-
D.
Jordan Fisher
Jordan Fisher is an American actor, singer, and dancer known for his work in film, television, Broadway, and voice acting.
-
E.
Todrick Hall
Todrick Hall is an American singer, songwriter, choreographer, and YouTube personality known for his theatrical pop music, elaborate visual productions, and work on Broadway and television.
- 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_69ca839f76bc8190a4b7123cdd682199 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67f0fed8819098ef3c88f9ef8045 |
completed | April 1, 2026, 12:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0c58c94819095979b82a50cb77d |
completed | April 3, 2026, 2:37 p.m. |
Created at: March 30, 2026, 7:04 p.m.