Triple
T20741756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Originals |
E510458
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Julie Plec |
E624645
|
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: Julie Plec | Statement: [The Originals, creator, Julie Plec]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julie Plec Context triple: [The Originals, creator, Julie Plec]
-
A.
Julie Plec
chosen
Julie Plec is an American television producer, writer, and showrunner best known for developing and overseeing popular supernatural drama series such as The Vampire Diaries and its spin-offs.
-
B.
Celeste Van Dien
Celeste Van Dien is the daughter of American actress Catherine Oxenberg and actor Casper Van Dien.
-
C.
Danielle Nicolet
Danielle Nicolet is an American actress best known for her role as Cecile Horton on the superhero television series "The Flash."
-
D.
Jessica Paré
Jessica Paré is a Canadian actress best known for her role as Megan Draper on the television series "Mad Men."
-
E.
Candice Accola
Candice Accola is an American actress and singer best known for her role as Caroline Forbes on the television series "The Vampire Diaries."
- 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_69e0b4c845e88190b4c5f3ae79291182 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c20f9670819082199de21a8d9818 |
completed | April 21, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09006328588190b9d492848a377c54 |
completed | May 16, 2026, 11:40 p.m. |
Created at: April 16, 2026, 12:33 p.m.