Triple
T22090230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The School for Good and Evil |
E545893
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Joe Roth |
—
|
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: Joe Roth | Statement: [The School for Good and Evil, producer, Joe Roth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Roth Context triple: [The School for Good and Evil, producer, Joe Roth]
-
A.
Joe Roth
chosen
Joe Roth is an American film producer and studio executive who became a prominent sports figure as the lead investor and former majority owner of Major League Soccer’s Seattle Sounders FC.
-
B.
Matt Roth
Matt Roth is an American actor known for his television work, including recurring roles on the sitcom "Roseanne."
-
C.
Lee Tergesen
Lee Tergesen is an American actor best known for his roles in the HBO series "Oz," the film "Wayne's World," and numerous television dramas and miniseries.
-
D.
Stan Lathan
Stan Lathan is an American television and film director and producer known for his influential work in comedy and urban-themed programming, including directing numerous specials for comedians like Dave Chappelle.
-
E.
Steve Dorff
Steve Dorff is an American songwriter and composer known for his prolific work in country and pop music, including numerous hits for major recording artists and film and television scores.
- 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.