Triple
T22090231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The School for Good and Evil |
E545893
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jeffrey Kirschenbaum |
—
|
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: Jeffrey Kirschenbaum | Statement: [The School for Good and Evil, producer, Jeffrey Kirschenbaum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeffrey Kirschenbaum Context triple: [The School for Good and Evil, producer, Jeffrey Kirschenbaum]
-
A.
Jeff Kirschenbaum
chosen
Jeff Kirschenbaum is a Hollywood film producer known for working on major studio features, including big-budget family and action movies.
-
B.
Michael Jaffe
Michael Jaffe is an American television and film producer known for his work on numerous TV movies, series, and feature films.
-
C.
Jeff Kodosky
Jeff Kodosky is an American engineer and co-founder of National Instruments, best known as the "father of LabVIEW" for creating the influential graphical programming environment.
-
D.
Alan Kirschenbaum
Alan Kirschenbaum was an American television producer and writer best known for creating and working on several popular sitcoms in the late 20th and early 21st centuries.
-
E.
Stephen Kipner
Stephen Kipner is an Australian-American songwriter and producer known for crafting numerous international pop hits across several decades.
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e53dfc81909858cdad8b09c5fb |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:29 p.m.