Triple

T6984643
Position Surface form Disambiguated ID Type / Status
Subject Nikolai Karamzin E161931 entity
Predicate notableWork P4 FINISHED
Object Poor Liza
Poor Liza is a sentimental short story by Russian writer Nikolai Karamzin that became a landmark of early Russian Romanticism and deeply influenced Russian literature and culture.
E633298 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: Poor Liza | Statement: [Nikolai Karamzin, notableWork, Poor Liza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poor Liza
Context triple: [Nikolai Karamzin, notableWork, Poor Liza]
  • A. Love Liza
    Love Liza is a 2002 independent drama film starring Philip Seymour Hoffman as a grieving widower spiraling into gasoline huffing after his wife's suicide.
  • B. Liza with a Z
    Liza with a Z is a 1972 television concert film and musical special starring Liza Minnelli, renowned for its dynamic song-and-dance performances and direction by Bob Fosse.
  • C. Lillete
    Lillete is an alcoholic beverage brand that forms part of Pernod Ricard’s global spirits and drinks portfolio.
  • D. Lizzie
    Lizzie is a common English feminine given name, often used as a diminutive of names like Elizabeth or Liza.
  • E. Rags
    Rags is a lesser-known Broadway musical by composer Stephen Schwartz that explores the struggles and hopes of Jewish immigrants in early 20th-century America.
  • 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: Poor Liza
Triple: [Nikolai Karamzin, notableWork, Poor Liza]
Generated description
Poor Liza is a sentimental short story by Russian writer Nikolai Karamzin that became a landmark of early Russian Romanticism and deeply influenced Russian literature and culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Poor Liza
Target entity description: Poor Liza is a sentimental short story by Russian writer Nikolai Karamzin that became a landmark of early Russian Romanticism and deeply influenced Russian literature and culture.
  • A. Love Liza
    Love Liza is a 2002 independent drama film starring Philip Seymour Hoffman as a grieving widower spiraling into gasoline huffing after his wife's suicide.
  • B. Liza with a Z
    Liza with a Z is a 1972 television concert film and musical special starring Liza Minnelli, renowned for its dynamic song-and-dance performances and direction by Bob Fosse.
  • C. Lillete
    Lillete is an alcoholic beverage brand that forms part of Pernod Ricard’s global spirits and drinks portfolio.
  • D. Lizzie
    Lizzie is a common English feminine given name, often used as a diminutive of names like Elizabeth or Liza.
  • E. Rags
    Rags is a lesser-known Broadway musical by composer Stephen Schwartz that explores the struggles and hopes of Jewish immigrants in early 20th-century America.
  • 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db91fbc881908c26b7b991995062 completed March 27, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761cb0f1c8190b22b1ad2cd1d7a57 completed March 28, 2026, 5:06 a.m.
NEDg Description generation batch_69c7630440508190a66f218fd912d732 completed March 28, 2026, 5:11 a.m.
NED2 Entity disambiguation (via description) batch_69c7639747b88190b3429817d53c5703 completed March 28, 2026, 5:13 a.m.
Created at: March 27, 2026, 2:31 p.m.