Triple
T5019237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Harrington |
E112808
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Joe Keery |
E118903
|
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: Joe Keery | Statement: [Steve Harrington, portrayedBy, Joe Keery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Keery Context triple: [Steve Harrington, portrayedBy, 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.
Dominic Monaghan
Dominic Monaghan is an English actor best known for playing the hobbit Merry in The Lord of the Rings film trilogy and Charlie Pace on the television series Lost.
-
C.
Ethan Embry
Ethan Embry is an American actor known for his roles in 1990s films such as "Empire Records," "Can't Hardly Wait," and various television series.
-
D.
Lewis Pullman
Lewis Pullman is an American actor known for roles in films such as "Top Gun: Maverick," "Bad Times at the El Royale," and "The Strangers: Prey at Night."
-
E.
Jack O’Connell
Jack O’Connell is an English actor known for his intense performances in film and television, including prominent roles in projects like "Skins," "’71," and "Unbroken."
- 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_69bd4435c2f48190be593158cbfcf8a3 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7342c62881909acb35849da8761c |
completed | March 20, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c5e06fc8190bdd875c04cefd789 |
completed | March 21, 2026, 1:25 p.m. |
Created at: March 20, 2026, 1:35 p.m.