Triple
T17495507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Avery |
E426047
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | James Avery |
—
|
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: James Avery | Statement: [James Avery, name, James Avery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Avery Context triple: [James Avery, name, James Avery]
-
A.
James Avery
James Avery is a musician known for being a member of the Washington, D.C.-based go-go band Chuck Brown & the Soul Searchers.
-
B.
James Avery
chosen
James Avery was an American actor best known for his role as Philip Banks on the television sitcom "The Fresh Prince of Bel-Air."
-
C.
Dominique Caine
Dominique Caine is one of the children of acclaimed British actor Michael Caine.
-
D.
Jonathan Whitehead
Jonathan Whitehead was a British television composer best known for his distinctive scores for UK comedies such as Brass Eye, Green Wing, and other Channel 4 series.
-
E.
Jeffrey Jones
Jeffrey Jones is an American character actor best known for his roles in films such as "Ferris Bueller's Day Off," "Beetlejuice," and "Amadeus."
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4520dd9508190872a71d3722228e2 |
completed | April 19, 2026, 3:54 a.m. |
Created at: April 10, 2026, 5:48 a.m.