Triple

T15894662
Position Surface form Disambiguated ID Type / Status
Subject Faina Ranevskaya E385421 entity
Predicate notableWork P4 FINISHED
Object Pyshka
Pyshka is a notable work associated with the celebrated Soviet and Russian actress Faina Ranevskaya, remembered as part of her influential artistic legacy.
 E1182852 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: Pyshka | Statement: [Faina Ranevskaya, notableWork, Pyshka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pyshka
Context triple: [Faina Ranevskaya, notableWork, Pyshka]
  • A. Rato
    Rato is the central protagonist of the story "Trash," around whom the narrative and its events primarily revolve.
  • B. Maues
    Maues was an early Indo-Scythian king known for establishing Scythian rule in northwestern India and laying the foundations of Indo-Scythian power in the region.
  • C. Shapshu
    Shapshu is a Canaanite sun goddess associated with light, justice, and the guidance of gods and souls in ancient Near Eastern mythology.
  • D. Pachi the porcupine
    Pachi the porcupine is the cheerful, multi-colored porcupine character created as the official mascot of the 2015 Parapan American Games in Toronto.
  • E. Mause
    Mause is a character in Allan Ramsay’s pastoral play "The Gentle Shepherd," typically depicted as an old, wise woman who provides comic relief and guidance.
  • 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: Pyshka
Triple: [Faina Ranevskaya, notableWork, Pyshka]
Generated description
Pyshka is a notable work associated with the celebrated Soviet and Russian actress Faina Ranevskaya, remembered as part of her influential artistic legacy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pyshka
Target entity description: Pyshka is a notable work associated with the celebrated Soviet and Russian actress Faina Ranevskaya, remembered as part of her influential artistic legacy.
  • A. Rato
    Rato is the central protagonist of the story "Trash," around whom the narrative and its events primarily revolve.
  • B. Maues
    Maues was an early Indo-Scythian king known for establishing Scythian rule in northwestern India and laying the foundations of Indo-Scythian power in the region.
  • C. Shapshu
    Shapshu is a Canaanite sun goddess associated with light, justice, and the guidance of gods and souls in ancient Near Eastern mythology.
  • D. Pachi the porcupine
    Pachi the porcupine is the cheerful, multi-colored porcupine character created as the official mascot of the 2015 Parapan American Games in Toronto.
  • E. Mause
    Mause is a character in Allan Ramsay’s pastoral play "The Gentle Shepherd," typically depicted as an old, wise woman who provides comic relief and guidance.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1563809748190a54156b946d3f061 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb04b55ec8190a5b3513b2afa4f83 completed May 9, 2026, 10:08 p.m.
NEDg Description generation batch_69ffb13fdb6c819091c3ee5c1f199031 completed May 9, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69ffb208aef881909b3a00e0015c27df completed May 9, 2026, 10:15 p.m.
Created at: April 10, 2026, 4:51 a.m.