Triple
T14356651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yisrael BaAliyah |
E355985
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object |
Marina Solodkin
Marina Solodkin was a Russian-born Israeli politician and Knesset member known for advocating immigrant rights and social justice.
|
E1099587
|
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: Marina Solodkin | Statement: [Yisrael BaAliyah, notableMember, Marina Solodkin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marina Solodkin Context triple: [Yisrael BaAliyah, notableMember, Marina Solodkin]
-
A.
Marina Zoueva
Marina Zoueva is a renowned Russian-Canadian figure skating coach and choreographer known for guiding numerous Olympic and World champion ice dance and singles skaters.
-
B.
Alexandra Yatsko
Alexandra Yatsko is a film producer known for her work on the documentary "Love, Antosha."
-
C.
Anastasia Bredikhina
Anastasia Bredikhina is a voice actress known for her work in the animated feature film "The Peanuts Movie."
-
D.
Marina Chapelin
Marina Chapelin is a coastal marina in Varadero, Cuba, serving as a docking and service hub for recreational boats and yachts.
-
E.
Yulia Solntseva
Yulia Solntseva was a Soviet film director and actress renowned for her collaborations with Alexander Dovzhenko and for winning the Best Director award at the 1961 Cannes Film Festival.
- 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: Marina Solodkin Triple: [Yisrael BaAliyah, notableMember, Marina Solodkin]
Generated description
Marina Solodkin was a Russian-born Israeli politician and Knesset member known for advocating immigrant rights and social justice.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marina Solodkin Target entity description: Marina Solodkin was a Russian-born Israeli politician and Knesset member known for advocating immigrant rights and social justice.
-
A.
Marina Zoueva
Marina Zoueva is a renowned Russian-Canadian figure skating coach and choreographer known for guiding numerous Olympic and World champion ice dance and singles skaters.
-
B.
Alexandra Yatsko
Alexandra Yatsko is a film producer known for her work on the documentary "Love, Antosha."
-
C.
Anastasia Bredikhina
Anastasia Bredikhina is a voice actress known for her work in the animated feature film "The Peanuts Movie."
-
D.
Marina Chapelin
Marina Chapelin is a coastal marina in Varadero, Cuba, serving as a docking and service hub for recreational boats and yachts.
-
E.
Yulia Solntseva
Yulia Solntseva was a Soviet film director and actress renowned for her collaborations with Alexander Dovzhenko and for winning the Best Director award at the 1961 Cannes Film Festival.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f519bf881908615f4d47e0f77aa |
completed | April 14, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bbd7cb881908b33b3aae4243f2e |
completed | May 8, 2026, 3:42 a.m. |
| NEDg | Description generation | batch_69fd5c6494788190af55027c7c2c45b7 |
completed | May 8, 2026, 3:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd5cc9ec1c8190b761c9459ca0c52e |
completed | May 8, 2026, 3:47 a.m. |
Created at: April 10, 2026, 1:15 a.m.