Triple

T11705672
Position Surface form Disambiguated ID Type / Status
Subject Tales from the Borderlands E278229 entity
Predicate character P662 FINISHED
Object Sasha
Sasha is a sharp-witted Pandoran con artist and key supporting protagonist in the episodic graphic adventure game Tales from the Borderlands.
 E942489 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: [Tales from the Borderlands, character, Sasha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sasha
Context triple: [Tales from the Borderlands, character, 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 common Russian diminutive form of the given name Alexander (and also Alexandra).
  • C. Sasha
    Sasha is one of the costumed cougar mascots representing the University of Houston's athletic teams, the Houston Cougars.
  • D. Sascha
    Sascha is a fictional bartender and loyal employee at Rick's Café Américain in the classic film "Casablanca."
  • E. Sasha Valentine
    Sasha Valentine is a fictional character from the British soap opera "Hollyoaks," known for her dramatic storylines involving family conflict, relationships, and personal struggles.
  • 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: [Tales from the Borderlands, character, Sasha]
Generated description
Sasha is a sharp-witted Pandoran con artist and key supporting protagonist in the episodic graphic adventure game Tales from the Borderlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sasha
Target entity description: Sasha is a sharp-witted Pandoran con artist and key supporting protagonist in the episodic graphic adventure game Tales from the Borderlands.
  • 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. Sascha
    Sascha is a fictional bartender and loyal employee at Rick's Café Américain in the classic film "Casablanca."
  • E. Sasha Valentine
    Sasha Valentine is a fictional character from the British soap opera "Hollyoaks," known for her dramatic storylines involving family conflict, relationships, and personal struggles.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a49c8c38819083d83f5fdec52b7f completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef836388bc8190827ce4af609d8b61 completed April 27, 2026, 3:40 p.m.
NEDg Description generation batch_69ef96b0169081909ad5c5d40a006e64 completed April 27, 2026, 5:02 p.m.
NED2 Entity disambiguation (via description) batch_69efb4dad6a481909a54511b6233993b completed April 27, 2026, 7:11 p.m.
Created at: April 8, 2026, 9:40 p.m.