Triple
T14752213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burnt |
E346637
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object | Michael Kalesniko |
E543371
|
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: Michael Kalesniko | Statement: [Burnt, storyBy, Michael Kalesniko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Kalesniko Context triple: [Burnt, storyBy, Michael Kalesniko]
-
A.
Michael Kalesniko
chosen
Michael Kalesniko is a Canadian screenwriter and film director known for his darkly comedic and character-driven work in independent cinema.
-
B.
Calvin Wimmer
Calvin Wimmer is a film editor best known for his work on the science fiction horror movie "The Cloverfield Paradox."
-
C.
Aaron Korsh
Aaron Korsh is an American television writer and producer best known for creating the legal drama series "Suits."
-
D.
Mike Kuchar
Mike Kuchar is an American underground filmmaker and artist known for his campy, low-budget, and highly influential experimental films that helped define New York’s underground cinema scene in the 1960s.
-
E.
Max Zaritsky
Max Zaritsky was an American labor leader and union organizer who played a key role in the early development of industrial unionism in the United States.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d40efc8190bb1be34c19a2b57c |
completed | April 14, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb9a56a08190b6a178cd930a072d |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:30 a.m.