Triple

T23785499
Position Surface form Disambiguated ID Type / Status
Subject General Epanchin E587938 entity
Predicate spouse P13 FINISHED
Object Lizaveta Prokofyevna Epanchin
Lizaveta Prokofyevna Epanchin is a prominent fictional aristocratic matriarch in Fyodor Dostoevsky’s novel "The Idiot," known for her sharp wit, strong will, and social influence.
E1608393 NE FINISHED

How this triple was built (2 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: Lizaveta Prokofyevna Epanchin | Statement: [General Epanchin, spouse, Lizaveta Prokofyevna Epanchin]
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: Lizaveta Prokofyevna Epanchin
Triple: [General Epanchin, spouse, Lizaveta Prokofyevna Epanchin]
Generated description
Lizaveta Prokofyevna Epanchin is a prominent fictional aristocratic matriarch in Fyodor Dostoevsky’s novel "The Idiot," known for her sharp wit, strong will, and social influence.

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_69e2490f4ad48190b690878eec3596c6 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1c630f81c81909413ba06ae27ebfc completed April 29, 2026, 8:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f760a06f88190a59004a142cd954b completed May 21, 2026, 9:15 p.m.
NEDg Description generation batch_6a0f77b76ab08190b2caf42777492249 completed May 21, 2026, 9:23 p.m.
NED2 Entity disambiguation (via description) batch_6a0f7893346c81908879db417e4854d1 completed May 21, 2026, 9:26 p.m.
Created at: April 17, 2026, 7:17 p.m.