Triple
T9459794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quo Vadis |
E228115
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Sonya Levien |
E139994
|
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: Sonya Levien | Statement: [Quo Vadis, screenwriter, Sonya Levien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sonya Levien Context triple: [Quo Vadis, screenwriter, Sonya Levien]
-
A.
Sonya Levien
chosen
Sonya Levien was a prominent American screenwriter known for her work on numerous Hollywood films from the silent era through the 1950s, often adapting literary and theatrical works for the screen.
-
B.
Sonya Kalish
Sonya Kalish, better known by her stage name Sophie Tucker, was a famed early 20th-century American singer and comedian celebrated as "The Last of the Red Hot Mamas."
-
C.
Sonya Isaacs
Sonya Isaacs is an American country and Christian music singer-songwriter known for her work both as a solo artist and as a member of the family group The Isaacs.
-
D.
Sofia Rosinsky
Sofia Rosinsky is an American actress best known for her starring role in the science fiction television series "Paper Girls."
-
E.
Alisa Freindlich
Alisa Freindlich is a renowned Soviet and Russian actress celebrated for her work in film and theater, particularly in the late 20th century.
- 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_69ca843b123881909b0e60028475d12d |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fc916348190aeb3874a89071677 |
completed | April 1, 2026, 8:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14bf027b48190a73dca431632104c |
completed | April 4, 2026, 5:35 p.m. |
Created at: March 30, 2026, 7:52 p.m.