Triple
T12215434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luke Kleintank |
E291070
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Luke Kleintank |
E291070
|
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: Luke Kleintank | Statement: [Luke Kleintank, name, Luke Kleintank]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luke Kleintank Context triple: [Luke Kleintank, name, Luke Kleintank]
-
A.
Luke Kleintank
chosen
Luke Kleintank is an American actor best known for his role as Joe Blake in the television series "The Man in the High Castle."
-
B.
Jason Kehler
Jason Kehler is a sports administrator who serves as the athletic director for the Dolphins athletic program.
-
C.
Tyler Korff
Tyler Korff is an American attorney and media executive known for his role in the Redstone family’s media empire and his work with companies linked to Paramount Global and National Amusements.
-
D.
Jeremy Joe Kronsberg
Jeremy Joe Kronsberg is an American screenwriter and filmmaker best known for writing the Clint Eastwood comedy hit "Every Which Way but Loose."
-
E.
Matthew Stuecken
Matthew Stuecken is a film screenwriter best known for co-writing the psychological sci-fi thriller "10 Cloverfield Lane."
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c931cec819083ca19be06a33e1c |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63ee89b28819095e2e5df8acbcb22 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:51 p.m.