Triple

T21565407
Position Surface form Disambiguated ID Type / Status
Subject Apropos of the Wet Snow E532149 entity
Predicate character P662 FINISHED
Object Liza
Liza is a young, impoverished prostitute in Dostoevsky’s "Notes from Underground" whose encounter with the narrator exposes themes of vulnerability, dignity, and moral awakening.
E1489943 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: Liza | Statement: [Apropos of the Wet Snow, character, Liza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liza
Context triple: [Apropos of the Wet Snow, character, Liza]
  • A. Liza
    Liza is a feminine given name most famously associated with American actress and singer Liza Minnelli.
  • B. Liza
    Liza is a central tragic heroine in Alexander Pushkin’s short story "The Queen of Spades," whose ill-fated love and entanglement with gambling intrigue drive much of the plot.
  • C. 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.
  • D. Liza Miller
    Liza Miller is the 40-year-old divorced mother who pretends to be in her twenties to restart her publishing career in the TV series "Younger."
  • E. Liza Rey
    Liza Rey is a musician and harpist known for her work in jazz and popular music, as well as for being part of a prominent musical family.
  • 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: Liza
Triple: [Apropos of the Wet Snow, character, Liza]
Generated description
Liza is a young, impoverished prostitute in Dostoevsky’s "Notes from Underground" whose encounter with the narrator exposes themes of vulnerability, dignity, and moral awakening.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Liza
Target entity description: Liza is a young, impoverished prostitute in Dostoevsky’s "Notes from Underground" whose encounter with the narrator exposes themes of vulnerability, dignity, and moral awakening.
  • A. Liza
    Liza is a feminine given name most famously associated with American actress and singer Liza Minnelli.
  • B. Liza
    Liza is a central tragic heroine in Alexander Pushkin’s short story "The Queen of Spades," whose ill-fated love and entanglement with gambling intrigue drive much of the plot.
  • C. 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.
  • D. Liza Miller
    Liza Miller is the 40-year-old divorced mother who pretends to be in her twenties to restart her publishing career in the TV series "Younger."
  • E. Liza Rey
    Liza Rey is a musician and harpist known for her work in jazz and popular music, as well as for being part of a prominent musical family.
  • 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_69e0c460db088190828c64206a450273 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eed2e777c881908de84493fa939ff3 completed April 27, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09eeef32cc81908e4d6f4aebd3de1a completed May 17, 2026, 4:38 p.m.
NEDg Description generation batch_6a09efd967d481909c9e0bc1c3f18f4a completed May 17, 2026, 4:42 p.m.
NED2 Entity disambiguation (via description) batch_6a09f06905108190b77d5bd95f261f3b completed May 17, 2026, 4:44 p.m.
Created at: April 16, 2026, 6:30 p.m.