Triple

T11776501
Position Surface form Disambiguated ID Type / Status
Subject Orlando: A Biography E280031 entity
Predicate notableCharacter P1481 FINISHED
Object Sasha
Sasha is a charismatic, gender-fluid Russian nobleman and love interest in Virginia Woolf’s novel "Orlando: A Biography."
 E946030 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: [Orlando: A Biography, notableCharacter, Sasha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sasha
Context triple: [Orlando: A Biography, notableCharacter, Sasha]
  • A. Sasha
    Sasha is a sharp-witted Pandoran con artist and key supporting protagonist in the episodic graphic adventure game Tales from the Borderlands.
  • 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 one of the costumed cougar mascots representing the University of Houston's athletic teams, the Houston Cougars.
  • D. Sasha
    Sasha is a common Russian diminutive form of the given name Alexander (and also Alexandra).
  • E. Sascha
    Sascha is a fictional bartender and loyal employee at Rick's Café Américain in the classic film "Casablanca."
  • 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: [Orlando: A Biography, notableCharacter, Sasha]
Generated description
Sasha is a charismatic, gender-fluid Russian nobleman and love interest in Virginia Woolf’s novel "Orlando: A Biography."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sasha
Target entity description: Sasha is a charismatic, gender-fluid Russian nobleman and love interest in Virginia Woolf’s novel "Orlando: A Biography."
  • A. Sasha
    Sasha is a common Russian diminutive form of the given name Alexander (and also Alexandra).
  • B. Sasha
    Sasha is one of the costumed cougar mascots representing the University of Houston's athletic teams, the Houston Cougars.
  • C. Sasha
    Sasha is a renowned British DJ and record producer known for his influential role in the development of progressive house and trance music.
  • 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. Sascha
    Sascha is a fictional bartender and loyal employee at Rick's Café Américain in the classic film "Casablanca."
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a560bf548190afab3ad14f953a71 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f090a95a908190a99e579e51cbeb4a completed April 28, 2026, 10:49 a.m.
NEDg Description generation batch_69f0bd3e585481908223acfd780a72a2 completed April 28, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69f0ef31076c8190b33a6a2778d7ffbb completed April 28, 2026, 5:32 p.m.
Created at: April 8, 2026, 9:42 p.m.