Triple

T8626032
Position Surface form Disambiguated ID Type / Status
Subject La Chinoise E204281 entity
Predicate hasCharacter P2308 FINISHED
Object Kirillov
Kirillov is a character in Jean-Luc Godard’s 1967 political film "La Chinoise," representing radical intellectual and revolutionary ideals.
 E747596 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: Kirillov | Statement: [La Chinoise, hasCharacter, Kirillov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kirillov
Context triple: [La Chinoise, hasCharacter, Kirillov]
  • A. Kirillov
    Kirillov is a small historic town in Russia known for its medieval monasteries and traditional northern architecture.
  • B. Kirillovich
    Kirillovich is the Russian patronymic of Pierre Bezukhov, indicating he is the son of a man named Kirill.
  • C. Kirilov
    Kirilov is a philosophical and tormented character in Fyodor Dostoevsky’s novel "Demons," known for his radical ideas about freedom, God, and suicide.
  • D. Alekseyev
    Alekseyev is a Russian surname borne by various notable figures in Russian history, military, and culture.
  • E. Vasilevsky
    Vasilevsky is a Russian surname most prominently associated with Aleksandr Vasilevsky, a leading Soviet military commander and Marshal of the Soviet Union during World War II.
  • 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: Kirillov
Triple: [La Chinoise, hasCharacter, Kirillov]
Generated description
Kirillov is a character in Jean-Luc Godard’s 1967 political film "La Chinoise," representing radical intellectual and revolutionary ideals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kirillov
Target entity description: Kirillov is a character in Jean-Luc Godard’s 1967 political film "La Chinoise," representing radical intellectual and revolutionary ideals.
  • A. Kirillov
    Kirillov is a small historic town in Russia known for its medieval monasteries and traditional northern architecture.
  • B. Kirillovich
    Kirillovich is the Russian patronymic of Pierre Bezukhov, indicating he is the son of a man named Kirill.
  • C. Kirilov
    Kirilov is a philosophical and tormented character in Fyodor Dostoevsky’s novel "Demons," known for his radical ideas about freedom, God, and suicide.
  • D. Alekseyev
    Alekseyev is a Russian surname borne by various notable figures in Russian history, military, and culture.
  • E. Vasilevsky
    Vasilevsky is a Russian surname most prominently associated with Aleksandr Vasilevsky, a leading Soviet military commander and Marshal of the Soviet Union during World War II.
  • 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_69cc472b8fa481909f52f83ea210483e completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebbf03c688190a989f16675f6e8a6 completed April 2, 2026, 6:56 p.m.
NEDg Description generation batch_69cebdd3ae908190bc4108b766585cbc completed April 2, 2026, 7:04 p.m.
NED2 Entity disambiguation (via description) batch_69cebf1825008190a97cd2df10f8e406 completed April 2, 2026, 7:10 p.m.
Created at: March 30, 2026, 6:26 p.m.