Triple
T14657244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dopesick |
E344141
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Karen Rosenfelt |
—
|
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: Karen Rosenfelt | Statement: [Dopesick, executiveProducer, Karen Rosenfelt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karen Rosenfelt Context triple: [Dopesick, executiveProducer, Karen Rosenfelt]
-
A.
Karen Rosenfelt
chosen
Karen Rosenfelt is an American film producer known for her work on major studio franchises and popular young adult adaptations, including entries in the Twilight series.
-
B.
Kristen Ruhlin
Kristen Ruhlin is an American actress and writer best known for her work in independent films and comedy projects.
-
C.
Kari Holbrook
Kari Holbrook is an individual notable enough to be recognized as a prominent bearer of the Holbrook surname.
-
D.
Kirsten Fudeman
Kirsten Fudeman is a linguist and scholar known for her collaborative work with Mark Aronoff in the field of morphology and the history of linguistic thought.
-
E.
Karen Moss
Karen Moss is the biological mother of television personality and fashion designer Nicole Richie.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb51a562c819098971447db4b29f7 |
completed | April 14, 2026, 9:43 p.m. |
Created at: April 10, 2026, 1:27 a.m.