Triple
T6009082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuri Zhivago |
E133785
|
entity |
| Predicate | associatedWithLocation |
P2830
|
FINISHED |
| Object |
Yuriatin
Yuriatin is a fictional Russian town in Boris Pasternak’s novel "Doctor Zhivago," serving as a key setting in Yuri Zhivago’s life and relationships.
|
E561486
|
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: Yuriatin | Statement: [Yuri Zhivago, associatedWithLocation, Yuriatin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuriatin Context triple: [Yuri Zhivago, associatedWithLocation, Yuriatin]
-
A.
Zemlya i Volya
Zemlya i Volya was a 19th-century Russian revolutionary organization of radical populists that advocated agrarian socialism and influenced later groups like Narodnaya Volya.
-
B.
Yuri
Yuri is a common Russian given name, famously borne by Yuri Gagarin, the first human to journey into outer space.
-
C.
Mishenka
Mishenka is a Russian affectionate diminutive form of the male given name Mikhail.
-
D.
Vyazniki
Vyazniki is a historic town in western Russia known for its traditional architecture and location on the Klyazma River.
-
E.
Molodyozhnaya
Molodyozhnaya is a Moscow Metro station serving the western part of the city on one of its main radial lines.
- 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: Yuriatin Triple: [Yuri Zhivago, associatedWithLocation, Yuriatin]
Generated description
Yuriatin is a fictional Russian town in Boris Pasternak’s novel "Doctor Zhivago," serving as a key setting in Yuri Zhivago’s life and relationships.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yuriatin Target entity description: Yuriatin is a fictional Russian town in Boris Pasternak’s novel "Doctor Zhivago," serving as a key setting in Yuri Zhivago’s life and relationships.
-
A.
Zemlya i Volya
Zemlya i Volya was a 19th-century Russian revolutionary organization of radical populists that advocated agrarian socialism and influenced later groups like Narodnaya Volya.
-
B.
Yuri
Yuri is a common Russian given name, famously borne by Yuri Gagarin, the first human to journey into outer space.
-
C.
Mishenka
Mishenka is a Russian affectionate diminutive form of the male given name Mikhail.
-
D.
Vyazniki
Vyazniki is a historic town in western Russia known for its traditional architecture and location on the Klyazma River.
-
E.
Molodyozhnaya
Molodyozhnaya is a Moscow Metro station serving the western part of the city on one of its main radial lines.
- 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.