Triple
T21957657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Teacher |
E542233
|
entity |
| Predicate | cinematography |
P1953
|
FINISHED |
| Object | Alar Kivilo |
—
|
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: Alar Kivilo | Statement: [Bad Teacher, cinematography, Alar Kivilo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alar Kivilo Context triple: [Bad Teacher, cinematography, Alar Kivilo]
-
A.
Alar Kivilo
chosen
Alar Kivilo is an Estonian-Canadian cinematographer known for his work on feature films and television, including the thriller "A Simple Plan."
-
B.
Niilo Kivirinta
Niilo Kivirinta is an actor known for his role in the 1991 drama film "At Play in the Fields of the Lord."
-
C.
Alar Karis
Alar Karis is an Estonian biologist, academic leader, and former museum director who became the country’s head of state.
-
D.
Kale Kayihura
Kale Kayihura is a Ugandan military officer and former Inspector General of Police who became a prominent and controversial figure in President Yoweri Museveni’s security apparatus.
-
E.
Sauli
Sauli is a Finnish masculine given name most prominently borne by Sauli Niinistö, the President of Finland from 2012 to 2024.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1244108948190a08e6966e55c4acd |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:59 p.m.