Triple

T8624409
Position Surface form Disambiguated ID Type / Status
Subject Vasili Shukshin E204247 entity
Predicate notableWork P4 FINISHED
Object Pechki-lavochki
Pechki-lavochki is a Soviet film written and directed by Vasili Shukshin that portrays the everyday lives and emotional journeys of rural Russians traveling across the country.
 E747459 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: Pechki-lavochki | Statement: [Vasili Shukshin, notableWork, Pechki-lavochki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pechki-lavochki
Context triple: [Vasili Shukshin, notableWork, Pechki-lavochki]
  • A. Vyazniki
    Vyazniki is a historic town in western Russia known for its traditional architecture and location on the Klyazma River.
  • B. Mishenka
    Mishenka is a Russian affectionate diminutive form of the male given name Mikhail.
  • C. Lastochka
    Lastochka is a modern Russian electric multiple-unit passenger train brand used primarily for high-speed suburban and regional services.
  • D. Kockasti
    Kockasti is the popular nickname of the Croatia men's national basketball team, referencing the iconic red-and-white checkered pattern associated with Croatian sports.
  • E. Pakoštane
    Pakoštane is a coastal village and popular tourist destination in Croatia, situated between the Adriatic Sea and Lake Vrana.
  • 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: Pechki-lavochki
Triple: [Vasili Shukshin, notableWork, Pechki-lavochki]
Generated description
Pechki-lavochki is a Soviet film written and directed by Vasili Shukshin that portrays the everyday lives and emotional journeys of rural Russians traveling across the country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pechki-lavochki
Target entity description: Pechki-lavochki is a Soviet film written and directed by Vasili Shukshin that portrays the everyday lives and emotional journeys of rural Russians traveling across the country.
  • A. Vyazniki
    Vyazniki is a historic town in western Russia known for its traditional architecture and location on the Klyazma River.
  • B. Mishenka
    Mishenka is a Russian affectionate diminutive form of the male given name Mikhail.
  • C. Lastochka
    Lastochka is a modern Russian electric multiple-unit passenger train brand used primarily for high-speed suburban and regional services.
  • D. Kockasti
    Kockasti is the popular nickname of the Croatia men's national basketball team, referencing the iconic red-and-white checkered pattern associated with Croatian sports.
  • E. Pakoštane
    Pakoštane is a coastal village and popular tourist destination in Croatia, situated between the Adriatic Sea and Lake Vrana.
  • 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_69ca834a4ea0819094970dceb9e389f3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4728360c8190b5e600596cbced0c completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebbe6a7e48190a166a31dccd8ac16 completed April 2, 2026, 6:56 p.m.
NEDg Description generation batch_69cebe299de881909dcbb37b2b718201 completed April 2, 2026, 7:06 p.m.
NED2 Entity disambiguation (via description) batch_69cebedb7f0c8190be98ffec07ce6fbc completed April 2, 2026, 7:09 p.m.
Created at: March 30, 2026, 6:26 p.m.