Triple

T4139851
Position Surface form Disambiguated ID Type / Status
Subject PPSh-41 E89244 entity
Predicate nickname P55 FINISHED
Object Papasha
Papasha is the affectionate Russian nickname for the PPSh-41, a widely used Soviet submachine gun from World War II.
 E415709 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: Papasha | Statement: [PPSh-41, nickname, Papasha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Papasha
Context triple: [PPSh-41, nickname, Papasha]
  • A. Linbaba
    Linbaba is the protagonist and narrator of Gregory David Roberts' novel "Shantaram," an Australian fugitive who builds a new life in the underworld of Bombay.
  • B. Pawukon
    Pawukon is a complex traditional Balinese calendrical system composed of multiple concurrent week cycles used to determine ritual, ceremonial, and agricultural timings.
  • C. Pagalu
    Pagalu is an alternative name for Annobón, a small volcanic island in the Gulf of Guinea that belongs to Equatorial Guinea.
  • D. Marichi
    Marichi is a revered Vedic sage (one of the Saptarishi) regarded as a mind-born son of Brahma and an important progenitor in Hindu cosmology.
  • E. Kanuma
    Kanuma is a regional harvest festival celebrated mainly in Andhra Pradesh and Telangana as part of the multi-day Makar Sankranti festivities, focusing on cattle worship and agricultural prosperity.
  • 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: Papasha
Triple: [PPSh-41, nickname, Papasha]
Generated description
Papasha is the affectionate Russian nickname for the PPSh-41, a widely used Soviet submachine gun from World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Papasha
Target entity description: Papasha is the affectionate Russian nickname for the PPSh-41, a widely used Soviet submachine gun from World War II.
  • A. Linbaba
    Linbaba is the protagonist and narrator of Gregory David Roberts' novel "Shantaram," an Australian fugitive who builds a new life in the underworld of Bombay.
  • B. Pawukon
    Pawukon is a complex traditional Balinese calendrical system composed of multiple concurrent week cycles used to determine ritual, ceremonial, and agricultural timings.
  • C. Pagalu
    Pagalu is an alternative name for Annobón, a small volcanic island in the Gulf of Guinea that belongs to Equatorial Guinea.
  • D. Marichi
    Marichi is a revered Vedic sage (one of the Saptarishi) regarded as a mind-born son of Brahma and an important progenitor in Hindu cosmology.
  • E. Kanuma
    Kanuma is a regional harvest festival celebrated mainly in Andhra Pradesh and Telangana as part of the multi-day Makar Sankranti festivities, focusing on cattle worship and agricultural prosperity.
  • 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_69aed95785788190ae75bcf0cd1cafdf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0249dd988190bf6826a744e7771f completed March 9, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576ccdf348190a80305485bee354e completed March 14, 2026, 2:55 p.m.
NEDg Description generation batch_69b577785cdc8190ad0864d63aadf908 completed March 14, 2026, 2:58 p.m.
NED2 Entity disambiguation (via description) batch_69b578168ecc8190bc47f0902b130c7d completed March 14, 2026, 3 p.m.
Created at: March 9, 2026, 3:43 p.m.