Triple

T17399754
Position Surface form Disambiguated ID Type / Status
Subject Love & War E423054 entity
Predicate productionCompany P490 FINISHED
Object Shukovsky-English Entertainment
Shukovsky-English Entertainment is a television production company best known for producing the acclaimed 1990s sitcom "Love & War."
E1266869 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: Shukovsky-English Entertainment | Statement: [Love & War, productionCompany, Shukovsky-English Entertainment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shukovsky-English Entertainment
Context triple: [Love & War, productionCompany, Shukovsky-English Entertainment]
  • A. Ershevka
    Ershevka is a rural locality in Kaluga Oblast, Russia.
  • B. Skitsch
    Skitsch is a contemporary design brand known for its playful, innovative furniture and home accessories created in collaboration with prominent designers.
  • C. Stavovské divadlo
    Stavovské divadlo is the historic Prague theater, internationally known as the Estates Theatre, where Mozart premiered Don Giovanni.
  • D. Russkaya Beseda
    Russkaya Beseda was a 19th-century Russian literary and socio-political journal that served as a key platform for promoting and debating Slavophile ideas.
  • E. Sucharski
    Sucharski is a Polish surname most notably associated with Henryk Sucharski, a World War II military officer and commander during the defense of Westerplatte.
  • 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: Shukovsky-English Entertainment
Triple: [Love & War, productionCompany, Shukovsky-English Entertainment]
Generated description
Shukovsky-English Entertainment is a television production company best known for producing the acclaimed 1990s sitcom "Love & War."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shukovsky-English Entertainment
Target entity description: Shukovsky-English Entertainment is a television production company best known for producing the acclaimed 1990s sitcom "Love & War."
  • A. Ershevka
    Ershevka is a rural locality in Kaluga Oblast, Russia.
  • B. Skitsch
    Skitsch is a contemporary design brand known for its playful, innovative furniture and home accessories created in collaboration with prominent designers.
  • C. Stavovské divadlo
    Stavovské divadlo is the historic Prague theater, internationally known as the Estates Theatre, where Mozart premiered Don Giovanni.
  • D. Russkaya Beseda
    Russkaya Beseda was a 19th-century Russian literary and socio-political journal that served as a key platform for promoting and debating Slavophile ideas.
  • E. Sucharski
    Sucharski is a Polish surname most notably associated with Henryk Sucharski, a World War II military officer and commander during the defense of Westerplatte.
  • 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43ac0596481908c400916d5c1b971 completed April 19, 2026, 2:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01a002b034819099fd74e01bb382b0 completed May 11, 2026, 9:23 a.m.
NEDg Description generation batch_6a01a176d2488190951bbe07233a37e4 completed May 11, 2026, 9:29 a.m.
NED2 Entity disambiguation (via description) batch_6a01a58b12088190828078c69c4fff4b completed May 11, 2026, 9:46 a.m.
Created at: April 10, 2026, 5:45 a.m.