Triple
T16300060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avrom Sutzkever |
E395759
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Sibir
Sibir is a renowned Yiddish poetry collection by Avrom Sutzkever that reflects on his experiences of exile and the Siberian landscape.
|
E1205811
|
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: Sibir | Statement: [Avrom Sutzkever, notableWork, Sibir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sibir Context triple: [Avrom Sutzkever, notableWork, Sibir]
-
A.
Sibir
Sibir is a professional ice hockey team based in Novosibirsk, Russia, competing in the Kontinental Hockey League (KHL).
-
B.
Sibirskaya
Sibirskaya is a station on the Novosibirsk Metro system in Novosibirsk, Russia.
-
C.
Daur
The Daur are a Mongolic ethnic group of northeastern China, traditionally living along the Heilongjiang (Amur) River and known for their distinct language, culture, and history as borderland farmers and hunters.
-
D.
Daur
Daur is a town in Pakistan’s Sindh province, known as a local commercial and agricultural center within the Nawabshah (Shaheed Benazirabad) District.
-
E.
Yakut
Yakut is a Turkic language spoken primarily in the Sakha Republic (Yakutia) in northeastern Siberia, Russia.
- 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: Sibir Triple: [Avrom Sutzkever, notableWork, Sibir]
Generated description
Sibir is a renowned Yiddish poetry collection by Avrom Sutzkever that reflects on his experiences of exile and the Siberian landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sibir Target entity description: Sibir is a renowned Yiddish poetry collection by Avrom Sutzkever that reflects on his experiences of exile and the Siberian landscape.
-
A.
Sibir
Sibir is a professional ice hockey team based in Novosibirsk, Russia, competing in the Kontinental Hockey League (KHL).
-
B.
Sibirskaya
Sibirskaya is a station on the Novosibirsk Metro system in Novosibirsk, Russia.
-
C.
Daur
The Daur are a Mongolic ethnic group of northeastern China, traditionally living along the Heilongjiang (Amur) River and known for their distinct language, culture, and history as borderland farmers and hunters.
-
D.
Daur
Daur is a town in Pakistan’s Sindh province, known as a local commercial and agricultural center within the Nawabshah (Shaheed Benazirabad) District.
-
E.
Yakut
Yakut is a Turkic language spoken primarily in the Sakha Republic (Yakutia) in northeastern Siberia, Russia.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e25e31c9e8819094593f3aeb44f2ca |
completed | April 17, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f9d7ef48190b7acebebcb9608c3 |
completed | May 10, 2026, 6:03 a.m. |
| NEDg | Description generation | batch_6a0021459c4081908e4c1d2e0bc8a5be |
completed | May 10, 2026, 6:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0022247e908190842ca6186b4e9c4c |
completed | May 10, 2026, 6:13 a.m. |
Created at: April 10, 2026, 5:06 a.m.