Triple
T22092333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parker |
E545941
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Steven Chasman |
—
|
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: Steven Chasman | Statement: [Parker, producer, Steven Chasman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steven Chasman Context triple: [Parker, producer, Steven Chasman]
-
A.
Steven Chasman
chosen
Steven Chasman is a film producer best known for his work on action and crime movies, frequently collaborating with stars like Jason Statham.
-
B.
Brian R. Seage
Brian R. Seage is an American Episcopal bishop who serves as the ecclesiastical leader of the Episcopal Diocese of Mississippi.
-
C.
Jeffrey Nachmanoff
Jeffrey Nachmanoff is an American screenwriter and director known for his work on major Hollywood films and television, including the climate-disaster movie "The Day After Tomorrow."
-
D.
Steven Baigelman
Steven Baigelman is an American screenwriter and producer known for his work on biographical and crime dramas in film and television.
-
E.
David Chaskin
David Chaskin is an American screenwriter best known for writing the horror film "A Nightmare on Elm Street 2: Freddy's Revenge."
- 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_69f128e6b1d881909bf0f4a52199354c |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:29 p.m.