Triple
T17908534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Tennyson |
E447762
|
entity |
| Predicate | portrayedByLiveAction |
P9616
|
FINISHED |
| Object | Ryan Kelley |
—
|
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: Ryan Kelley | Statement: [Ben Tennyson, portrayedByLiveAction, Ryan Kelley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryan Kelley Context triple: [Ben Tennyson, portrayedByLiveAction, Ryan Kelley]
-
A.
Ryan Kelley
chosen
Ryan Kelley is an American actor known for his roles in film and television, including his acclaimed performance in the drama "Prayers for Bobby" and his recurring role on the series "Teen Wolf."
-
B.
Josh Kelley
Josh Kelley is an American singer-songwriter known for his blend of pop, rock, and country influences and for hits like "Amazing" and "Only You."
-
C.
Charles Kelley
Charles Kelley is an American country music singer and songwriter best known as a member of the Grammy-winning trio Lady A.
-
D.
Mike Kellin
Mike Kellin was an American character actor known for his prolific work in film, television, and theater from the 1950s through the 1970s.
-
E.
Jon Kelley
Jon Kelley is an American television personality and sportscaster best known for hosting game and entertainment shows, including the comedy game show "Funny You Should Ask."
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e9e4c9881908bfc3a83809d6b85 |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 10, 2026, 10:19 a.m.