Triple
T18482014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aubrey O’Day |
E451583
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Aubrey |
—
|
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: Aubrey | Statement: [Aubrey O’Day, givenName, Aubrey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aubrey Context triple: [Aubrey O’Day, givenName, Aubrey]
-
A.
Aubrey
chosen
Aubrey is the first name of Canadian rapper, singer, and actor Drake (Aubrey Drake Graham).
-
B.
Aubrey
Aubrey is a small suburban town in the greater Dallas–Fort Worth metropolitan area in Texas.
-
C.
Aubrey Lee
Aubrey Lee is a television producer best known for serving as an executive producer on the mystery-comedy series "The Afterparty."
-
D.
Aubrey Morris
Aubrey Morris was a British character actor known for his distinctive eccentric roles in films such as "A Clockwork Orange" and numerous television appearances.
-
E.
Aubrey Woods
Aubrey Woods was a British actor best known for his role as Bill the Candy Man in the 1971 film "Willy Wonka & the Chocolate Factory."
- 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e531d49a1881908cc2ad6132953c96 |
completed | April 19, 2026, 7:49 p.m. |
Created at: April 10, 2026, 11:35 a.m.