Triple
T10752280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Case 39 |
E253598
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Jodelle Ferland |
E383462
|
NE FINISHED |
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: [Case 39, starring, Jodelle Ferland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jodelle Ferland Context triple: [Case 39, starring, 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.
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."
-
C.
Alice Patten
Alice Patten is a British actress best known internationally for her role as an English documentary filmmaker in the acclaimed Indian film "Rang De Basanti."
-
D.
Jennifer Leigh Morrow
Jennifer Leigh Morrow is the birth name of American actress, writer, and director Jennifer Jason Leigh, known for her intense and versatile performances in film and television.
-
E.
Calista Flockhart
Calista Flockhart is an American actress best known for her title role as a quirky lawyer in the television series "Ally McBeal."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71dc184d0819085f8bc4edb034377 |
completed | April 9, 2026, 3:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff78257b88190942308719d9fa6a6 |
completed | April 15, 2026, 8:39 p.m. |
Created at: April 8, 2026, 9:15 p.m.