Triple
T20645176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keery |
E507336
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Joe Keery |
—
|
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: Joe Keery | Statement: [Keery, usedBy, Joe Keery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Keery Context triple: [Keery, usedBy, Joe Keery]
-
A.
Joe Keery
chosen
Joe Keery is an American actor and musician best known for his role as Steve Harrington in the Netflix series "Stranger Things."
-
B.
Iain De Caestecker
Iain De Caestecker is a Scottish actor best known for his role as Leo Fitz in the Marvel television series "Agents of S.H.I.E.L.D."
-
C.
Cameron Monaghan
Cameron Monaghan is an American actor and model best known for his roles in the TV series "Shameless" and "Gotham."
-
D.
Robert Sheehan
Robert Sheehan is an Irish actor known for his roles in television series such as Misfits and The Umbrella Academy, as well as films including Mortal Engines.
-
E.
Kevin Meaney
Kevin Meaney was an American stand-up comedian and actor known for his offbeat, family-themed humor and appearances on shows like "The Tonight Show" and the sitcom "Uncle Buck."
- 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af1dd79481909de985d03ab861c2 |
completed | April 20, 2026, 10:56 p.m. |
Created at: April 16, 2026, 11:43 a.m.