Triple

T8112035
Position Surface form Disambiguated ID Type / Status
Subject Daniil Granin E189377 entity
Predicate notableWork P4 FINISHED
Object Zubr
Zubr is a renowned novel by Russian writer Daniil Granin that explores moral courage and scientific integrity through the life of a Soviet biologist.
 E712813 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: Zubr | Statement: [Daniil Granin, notableWork, Zubr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zubr
Context triple: [Daniil Granin, notableWork, Zubr]
  • A. Gavrio
    Gavrio is the main port town of the Greek island of Andros in the Cyclades, serving as its primary gateway by sea.
  • B. Rödluvan
    Rödluvan is a notable literary work by Finnish-Swedish author Märta Tikkanen, known for its feminist themes and exploration of gender roles.
  • C. Zebilla
    Zebilla is a town in Ghana’s Upper East Region that serves as a local commercial and administrative center.
  • D. Elewijt
    Elewijt is a village in the Flemish Brabant province of Belgium, known as a residential community within the municipality of Zemst.
  • E. Bulzi
    Bulzi is a small town and comune in the province of Sassari on the Italian island of Sardinia.
  • 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: Zubr
Triple: [Daniil Granin, notableWork, Zubr]
Generated description
Zubr is a renowned novel by Russian writer Daniil Granin that explores moral courage and scientific integrity through the life of a Soviet biologist.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zubr
Target entity description: Zubr is a renowned novel by Russian writer Daniil Granin that explores moral courage and scientific integrity through the life of a Soviet biologist.
  • A. Gavrio
    Gavrio is the main port town of the Greek island of Andros in the Cyclades, serving as its primary gateway by sea.
  • B. Rödluvan
    Rödluvan is a notable literary work by Finnish-Swedish author Märta Tikkanen, known for its feminist themes and exploration of gender roles.
  • C. Zebilla
    Zebilla is a town in Ghana’s Upper East Region that serves as a local commercial and administrative center.
  • D. Elewijt
    Elewijt is a village in the Flemish Brabant province of Belgium, known as a residential community within the municipality of Zemst.
  • E. Bulzi
    Bulzi is a small town and comune in the province of Sassari on the Italian island of Sardinia.
  • 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_69ca82baad008190ab2859712b9b1607 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb432bcb648190b5ddbcc2a3dbc9b1 completed March 31, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc942a9af881908b7ddc724755893e completed April 1, 2026, 3:42 a.m.
NEDg Description generation batch_69cc969e0ecc8190973658542d1406bc completed April 1, 2026, 3:53 a.m.
NED2 Entity disambiguation (via description) batch_69cc97781c0481909d21293633d111be completed April 1, 2026, 3:56 a.m.
Created at: March 30, 2026, 5:32 p.m.