Triple
T6009083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuri Zhivago |
E133785
|
entity |
| Predicate | associatedWithLocation |
P2830
|
FINISHED |
| Object |
Varykino
Varykino is the remote country estate in Boris Pasternak's novel "Doctor Zhivago" where key emotional and dramatic events in Yuri Zhivago's life unfold.
|
E561487
|
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: Varykino | Statement: [Yuri Zhivago, associatedWithLocation, Varykino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Varykino Context triple: [Yuri Zhivago, associatedWithLocation, Varykino]
-
A.
Varniai
Varniai is a historic town in Lithuania that once served as a key political and religious center of the Samogitian region.
-
B.
Vianen
Vianen is a historic Dutch town known for its medieval city center and location near major rivers in the western Netherlands.
-
C.
Vardzia
Vardzia is a medieval cave monastery complex in southern Georgia, renowned for its extensive rock-cut dwellings and frescoed church.
-
D.
Skvyra
Skvyra is a town in central Ukraine historically known for its significant Jewish community and cultural life in the 19th and early 20th centuries.
-
E.
Jvari
Jvari is a town in northwestern Georgia known for its location near the Enguri River and the Enguri Dam in the Samegrelo-Zemo Svaneti region.
- 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: Varykino Triple: [Yuri Zhivago, associatedWithLocation, Varykino]
Generated description
Varykino is the remote country estate in Boris Pasternak's novel "Doctor Zhivago" where key emotional and dramatic events in Yuri Zhivago's life unfold.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Varykino Target entity description: Varykino is the remote country estate in Boris Pasternak's novel "Doctor Zhivago" where key emotional and dramatic events in Yuri Zhivago's life unfold.
-
A.
Varniai
Varniai is a historic town in Lithuania that once served as a key political and religious center of the Samogitian region.
-
B.
Vianen
Vianen is a historic Dutch town known for its medieval city center and location near major rivers in the western Netherlands.
-
C.
Vardzia
Vardzia is a medieval cave monastery complex in southern Georgia, renowned for its extensive rock-cut dwellings and frescoed church.
-
D.
Skvyra
Skvyra is a town in central Ukraine historically known for its significant Jewish community and cultural life in the 19th and early 20th centuries.
-
E.
Jvari
Jvari is a town in northwestern Georgia known for its location near the Enguri River and the Enguri Dam in the Samegrelo-Zemo Svaneti region.
- 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_69c0087361a48190905c6b55969852b8 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f4e27a881909cc3f7fef62abc3b |
completed | March 22, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1089bd870819096c0f6c7cf484c50 |
completed | March 23, 2026, 9:32 a.m. |
| NEDg | Description generation | batch_69c10b0c23d48190a9e683858c29449d |
completed | March 23, 2026, 9:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c10bb3dd6481909d61d2cda5150ea7 |
completed | March 23, 2026, 9:45 a.m. |
Created at: March 22, 2026, 4:06 p.m.