Triple
T16871121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UNOVIS |
E421166
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Nina Kogan
Nina Kogan was a Russian avant-garde painter and designer associated with the Suprematist movement in the early 20th century.
|
E1239727
|
NE FINISHED |
How this triple was built (4 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 Kogan | Statement: [UNOVIS, hasMember, Nina Kogan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nina Kogan Context triple: [UNOVIS, hasMember, Nina Kogan]
-
A.
Tatiana Schlossberg
Tatiana Schlossberg is an American journalist and author, known for her environmental reporting and as a member of the Kennedy family.
-
B.
Evgenia Citkowitz
Evgenia Citkowitz is an American-born British writer and heiress known for her work as an author and for her marriage to the late actor Julian Sands.
-
C.
Nina Bernstein
Nina Bernstein is an American journalist best known for her investigative reporting on social justice, immigration, and child welfare for The New York Times.
-
D.
Nina Bernstein
Nina Bernstein is the daughter of renowned American composer and conductor Leonard Bernstein, known for helping preserve and promote her father's musical legacy.
-
E.
Nina Bushkin
Nina Bushkin was the wife of renowned American lyricist and playwright Alan Jay Lerner.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nina Kogan Triple: [UNOVIS, hasMember, Nina Kogan]
Generated description
Nina Kogan was a Russian avant-garde painter and designer associated with the Suprematist movement in the early 20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nina Kogan Target entity description: Nina Kogan was a Russian avant-garde painter and designer associated with the Suprematist movement in the early 20th century.
-
A.
Tatiana Schlossberg
Tatiana Schlossberg is an American journalist and author, known for her environmental reporting and as a member of the Kennedy family.
-
B.
Evgenia Citkowitz
Evgenia Citkowitz is an American-born British writer and heiress known for her work as an author and for her marriage to the late actor Julian Sands.
-
C.
Nina Bernstein
Nina Bernstein is an American journalist best known for her investigative reporting on social justice, immigration, and child welfare for The New York Times.
-
D.
Nina Bernstein
Nina Bernstein is the daughter of renowned American composer and conductor Leonard Bernstein, known for helping preserve and promote her father's musical legacy.
-
E.
Nina Bushkin
Nina Bushkin was the wife of renowned American lyricist and playwright Alan Jay Lerner.
- F. None of above. chosen
Provenance (5 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f1fe5881909b18438d771814e9 |
completed | April 18, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7a27f548190963c35f40f4420f8 |
completed | May 10, 2026, 6 p.m. |
| NEDg | Description generation | batch_6a00c9059a2c819099ede5a7b6e25b18 |
completed | May 10, 2026, 6:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00c9d1c6a0819083635b8246cc82e7 |
completed | May 10, 2026, 6:09 p.m. |
Created at: April 10, 2026, 5:29 a.m.