Triple
T20140624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dog Days (2018 film) |
E491152
|
entity |
| Predicate | mainCastMember |
P5563
|
FINISHED |
| Object | Nina Dobrev |
—
|
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: Nina Dobrev | Statement: [Dog Days (2018 film), mainCastMember, Nina Dobrev]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nina Dobrev Context triple: [Dog Days (2018 film), mainCastMember, Nina Dobrev]
-
A.
Nina Dobrev
chosen
Nina Dobrev is a Canadian actress best known for her leading role as Elena Gilbert and multiple doppelgängers on the supernatural drama series "The Vampire Diaries."
-
B.
Amber Riley
Amber Riley is an American actress and singer best known for her role as Mercedes Jones on the television series "Glee."
-
C.
Emily Bett Rickards
Emily Bett Rickards is a Canadian actress best known for playing the witty tech genius Felicity Smoak on the television series "Arrow."
-
D.
Kristen Connolly
Kristen Connolly is an American actress best known for her lead role in the horror-comedy film "The Cabin in the Woods" and her work in television series such as "House of Cards."
-
E.
Ashley Greene
Ashley Greene is an American actress best known for playing Alice Cullen in the film adaptations of Stephenie Meyer’s Twilight saga.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679b179c8190a9511df8ed82098a |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:32 p.m.