Triple
T14600512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snow Dogs |
E342691
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jordan Kerner |
E359695
|
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: Jordan Kerner | Statement: [Snow Dogs, producer, Jordan Kerner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jordan Kerner Context triple: [Snow Dogs, producer, Jordan Kerner]
-
A.
Jordan Kerner
chosen
Jordan Kerner is an American film and television producer known for projects such as "Less Than Zero" and the live-action "The Smurfs" films.
-
B.
Alex Kintner
Alex Kintner is a young boy whose fatal shark attack at Amity Island becomes a pivotal and haunting event in the film "Jaws."
-
C.
Jason Kehler
Jason Kehler is a sports administrator who serves as the athletic director for the Dolphins athletic program.
-
D.
Taylor Kornieck
Taylor Kornieck is an American professional soccer midfielder known for her height, aerial ability, and playmaking, who has played in the National Women's Soccer League and for the U.S. women's national team.
-
E.
Alex Kerner
Alex Kerner is the idealistic young protagonist of the German film "Good Bye, Lenin!", who stages an elaborate ruse to protect his fragile mother from learning about the fall of East Germany.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb438748081908020ce04b869866a |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bbfc6048190897f064a5686ebf8 |
completed | May 9, 2026, 1:19 a.m. |
Created at: April 10, 2026, 1:25 a.m.