Triple
T19629094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dark Matter (TV series) |
E471216
|
entity |
| Predicate | leadActor |
P1507
|
FINISHED |
| Object | Jodelle Ferland |
—
|
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: Jodelle Ferland | Statement: [Dark Matter (TV series), leadActor, Jodelle Ferland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jodelle Ferland Context triple: [Dark Matter (TV series), leadActor, Jodelle Ferland]
-
A.
Jodelle Ferland
chosen
Jodelle Ferland is a Canadian actress known for her acclaimed child performances in films such as "Tideland" and various genre and horror projects.
-
B.
Kristen Lang
Kristen Lang is an actress best known for playing the infant character Elora Danan in the fantasy film "Willow."
-
C.
Kristin Duvall
Kristin Duvall is a voice actress known for portraying Peppermint Patty in Peanuts-related media.
-
D.
Jewel Staite
Jewel Staite is a Canadian actress best known for her role as Kaylee Frye in the TV series "Firefly" and its film continuation "Serenity."
-
E.
Melissa Sue Anderson
Melissa Sue Anderson is an American actress best known for her role as Mary Ingalls on the television series "Little House on the Prairie."
- 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64101a0448190ba19f8917ae85dd6 |
completed | April 20, 2026, 3:06 p.m. |
Created at: April 10, 2026, 1:44 p.m.