Triple
T19952245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nona Balakian Citation |
E479588
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Nona Balakian |
—
|
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: Nona Balakian | Statement: [Nona Balakian Citation, namedAfter, Nona Balakian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nona Balakian Context triple: [Nona Balakian Citation, namedAfter, Nona Balakian]
-
A.
Nona Balakian
chosen
Nona Balakian was an influential American literary critic and longtime editor at The New York Times Book Review, known for championing contemporary fiction and criticism.
-
B.
Ana Khesarian
Ana Khesarian is a central fictional character in the 2016 historical drama film "The Promise," which is set during the final years of the Ottoman Empire and the Armenian Genocide.
-
C.
Dalia Ravikovitch
Dalia Ravikovitch was a prominent Israeli poet, translator, and peace activist whose emotionally powerful and socially engaged verse made her one of the central voices in modern Hebrew literature.
-
D.
Nora Chavooshian
Nora Chavooshian is an American production designer and art director known for her work in film and television.
-
E.
Neda Armian
Neda Armian is a film producer best known for her work on acclaimed independent films such as "Rachel Getting Married."
- 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a6c87388190a1bada3117acaf7b |
completed | April 20, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:54 p.m.