Triple
T10325802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brain on Fire |
E242757
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Beth Kono |
E248782
|
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: Beth Kono | Statement: [Brain on Fire, producer, Beth Kono]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beth Kono Context triple: [Brain on Fire, producer, Beth Kono]
-
A.
Beth Kono
chosen
Beth Kono is a film producer known for her work on action-driven projects such as the spy thriller "Atomic Blonde."
-
B.
Toni Marachek
Toni Marachek is a supporting character in the 1946 film noir drama "The Strange Love of Martha Ivers," involved in the story’s web of crime and romantic entanglements.
-
C.
Amy Dubanowski
Amy Dubanowski is the hardworking, often overburdened floor supervisor and later manager at the Cloud 9 big-box store in the TV sitcom "Superstore," known for balancing her chaotic job with the challenges of family life.
-
D.
Carin Besser
Carin Besser is an American writer and former fiction editor best known for her lyric work and long-term creative collaboration with her husband, The National’s frontman Matt Berninger.
-
E.
Janine Melnitz
Janine Melnitz is the Ghostbusters’ sharp-tongued, no-nonsense receptionist who provides comic relief and grounded support to the team.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7cd76348190b93562112300acfc |
completed | April 7, 2026, 10:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87e4cdf8881908d613a0cb65fa0c2 |
completed | April 10, 2026, 4:36 a.m. |
Created at: April 6, 2026, 11:51 a.m.