Triple
T21957679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Teacher |
E542233
|
entity |
| Predicate | screenplayBy |
P15305
|
FINISHED |
| Object | Lee Eisenberg |
—
|
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: Lee Eisenberg | Statement: [Bad Teacher, screenplayBy, Lee Eisenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lee Eisenberg Context triple: [Bad Teacher, screenplayBy, Lee Eisenberg]
-
A.
Lee Eisenberg
chosen
Lee Eisenberg is an American television writer and producer best known for his work on series such as The Office and Hello Ladies.
-
B.
Jerry Cohan
Jerry Cohan was an American vaudeville performer and the father of famed entertainer George M. Cohan, known for his work in the family’s touring act, the Four Cohans.
-
C.
Leon Eisenberg
Leon Eisenberg was an influential American child psychiatrist and medical educator known for his pioneering work in autism and attention-deficit/hyperactivity disorder (ADHD) research.
-
D.
Sam Koppelman
Sam Koppelman is an American writer and political speechwriter known for co-authoring books with figures like Beto O’Rourke and for his work on voting rights and democracy.
-
E.
Jason Michael Berman
Jason Michael Berman is a film producer known for his work on notable independent and studio projects, including the 2023 sports drama "Air."
- 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.