Triple

T14063977
Position Surface form Disambiguated ID Type / Status
Subject Dmitri Likhachev E338415 entity
Predicate familyName P18 FINISHED
Object Likhachev
Likhachev is a Russian surname most prominently associated with Dmitri Likhachev, a renowned scholar of Old Russian literature and cultural historian.
E1077689 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: Likhachev | Statement: [Dmitri Likhachev, familyName, Likhachev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Likhachev
Context triple: [Dmitri Likhachev, familyName, Likhachev]
  • A. Khokhlov
    Khokhlov is a Russian surname commonly found in Eastern Europe, typically indicating Slavic heritage.
  • B. Yuryatin
    Yuryatin is a fictional Russian town in Boris Pasternak’s novel "Doctor Zhivago," serving as a key setting in Lara Antipova’s story.
  • C. Tatishchev
    Tatishchev is a Russian noble family name most prominently associated with historian and statesman Vasily Tatishchev.
  • D. Shchusev
    Shchusev is a Russian surname most notably associated with Alexey Shchusev, a prominent Soviet architect known for designing Lenin's Mausoleum in Moscow.
  • E. Vyazemsky
    Vyazemsky is a small town in Russia’s Far Eastern Federal District, serving as an administrative center within Khabarovsk Krai.
  • 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: Likhachev
Triple: [Dmitri Likhachev, familyName, Likhachev]
Generated description
Likhachev is a Russian surname most prominently associated with Dmitri Likhachev, a renowned scholar of Old Russian literature and cultural historian.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Likhachev
Target entity description: Likhachev is a Russian surname most prominently associated with Dmitri Likhachev, a renowned scholar of Old Russian literature and cultural historian.
  • A. Khokhlov
    Khokhlov is a Russian surname commonly found in Eastern Europe, typically indicating Slavic heritage.
  • B. Yuryatin
    Yuryatin is a fictional Russian town in Boris Pasternak’s novel "Doctor Zhivago," serving as a key setting in Lara Antipova’s story.
  • C. Tatishchev
    Tatishchev is a Russian noble family name most prominently associated with historian and statesman Vasily Tatishchev.
  • D. Shchusev
    Shchusev is a Russian surname most notably associated with Alexey Shchusev, a prominent Soviet architect known for designing Lenin's Mausoleum in Moscow.
  • E. Vyazemsky
    Vyazemsky is a small town in Russia’s Far Eastern Federal District, serving as an administrative center within Khabarovsk Krai.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5689c7f48190a47ca94eaa8a9ef9 completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb6673de881909653c7691422b800 completed May 7, 2026, 3:57 p.m.
NEDg Description generation batch_69fcc3b8aea881909b11a4671314810e completed May 7, 2026, 4:54 p.m.
NED2 Entity disambiguation (via description) batch_69fcc450fea881909e3b5bbd96469a8b completed May 7, 2026, 4:56 p.m.
Created at: April 9, 2026, 10:21 p.m.