Triple
T21448780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Young Ira Levinson |
E529148
|
entity |
| Predicate | influences |
P9
|
FINISHED |
| Object | Sophia Danko |
—
|
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: Sophia Danko | Statement: [Young Ira Levinson, influences, Sophia Danko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sophia Danko Context triple: [Young Ira Levinson, influences, Sophia Danko]
-
A.
Sophia Danko
chosen
Sophia Danko is a young art student and one of the central protagonists in Nicholas Sparks' romance novel "The Longest Ride."
-
B.
Juliana Harkavy
Juliana Harkavy is an American actress best known for playing Dinah Drake/Black Canary on the television series "Arrow" within the Arrowverse.
-
C.
Sofia Rosinsky
Sofia Rosinsky is an American actress best known for her starring role in the science fiction television series "Paper Girls."
-
D.
Juliana Olshanska
Juliana Olshanska was a Lithuanian noblewoman of the Olshanski family who became Grand Duchess of Lithuania as the wife of Grand Duke Vytautas the Great.
-
E.
Tatiana Javorsky
Tatiana Javorsky was the wife of American broadcast journalist Charles Collingwood.
- 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d11ca48190aafe25c97dfa5578 |
completed | April 23, 2026, 9:43 a.m. |
Created at: April 16, 2026, 6:06 p.m.