Triple
T20645602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Station Agent |
E507346
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Mary Jane Skalski |
—
|
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: Mary Jane Skalski | Statement: [The Station Agent, producer, Mary Jane Skalski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Jane Skalski Context triple: [The Station Agent, producer, Mary Jane Skalski]
-
A.
Mary Jane Skalski
chosen
Mary Jane Skalski is an American independent film producer known for her work on acclaimed character-driven dramas such as "The Visitor."
-
B.
Mary Ann Winkowski
Mary Ann Winkowski is a self-described real-life ghost whisperer and paranormal consultant whose experiences with spirits inspired the television series "Ghost Whisperer."
-
C.
Mary Jane Paul
Mary Jane Paul is the ambitious, career-driven television news anchor and complex protagonist at the center of the drama series "Being Mary Jane."
-
D.
Janine Jackowski
Janine Jackowski is a German film producer known for her work on acclaimed independent and art-house films.
-
E.
Margaret Domka
Margaret Domka is an American soccer referee known for officiating at the highest levels of the women’s game, including major domestic and international competitions.
- 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af1dd79481909de985d03ab861c2 |
completed | April 20, 2026, 10:56 p.m. |
Created at: April 16, 2026, 11:43 a.m.