Triple

T23437976
Position Surface form Disambiguated ID Type / Status
Subject Sasha Zhivago E563515 entity
Predicate givenName P17 FINISHED
Object Sasha
Sasha is a given name commonly used as a diminutive of Alexander or Alexandra in Slavic and other cultures.
 E40409 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: Sasha | Statement: [Sasha Zhivago, givenName, Sasha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sasha
Context triple: [Sasha Zhivago, givenName, Sasha]
  • A. Sasha
    Sasha is a renowned British DJ and record producer known for his influential role in the development of progressive house and trance music.
  • B. Sasha
    Sasha is a sharp-witted Pandoran con artist and key supporting protagonist in the episodic graphic adventure game Tales from the Borderlands.
  • C. Sasha
    Sasha is a charismatic, gender-fluid Russian nobleman and love interest in Virginia Woolf’s novel "Orlando: A Biography."
  • D. Sasha
    Sasha is one of the central protagonists in the supernatural horror film "The Bye Bye Man," who becomes entangled in the deadly curse of the titular entity.
  • E. Sasha
    Sasha is a fictional character associated with the Ivanov narrative, likely serving as a significant figure in that story’s relationships and themes.
  • 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: Sasha
Triple: [Sasha Zhivago, givenName, Sasha]
Generated description
Sasha is a given name commonly used as a diminutive of Alexander or Alexandra in Slavic and other cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sasha
Target entity description: Sasha is a given name commonly used as a diminutive of Alexander or Alexandra in Slavic and other cultures.
  • A. Sasha chosen
    Sasha is a common Russian diminutive form of the given name Alexander (and also Alexandra).
  • B. Sasha
    Sasha is a renowned British DJ and record producer known for his influential role in the development of progressive house and trance music.
  • C. Sasha
    Sasha is a charismatic, gender-fluid Russian nobleman and love interest in Virginia Woolf’s novel "Orlando: A Biography."
  • D. Sasha
    Sasha is a sharp-witted Pandoran con artist and key supporting protagonist in the episodic graphic adventure game Tales from the Borderlands.
  • E. Sasha
    Sasha is a key character in Nnedi Okorafor’s fantasy novel "Akata Witch," known for his magical abilities and complex, often rebellious personality within the Leopard People community.
  • F. None of above.

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_69e24553980c8190bb66a2ae0bdab125 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a5dda7448190b6c686e0db4f4f2f completed April 29, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c67b161548190a9017a58147e6201 completed May 19, 2026, 1:37 p.m.
NEDg Description generation batch_6a0c72171580819097c9f287d501ae7e completed May 19, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_6a0c76f0f4bc81909912d2196e969cf1 completed May 19, 2026, 2:42 p.m.
Created at: April 17, 2026, 5:50 p.m.