Triple

T6650232
Position Surface form Disambiguated ID Type / Status
Subject The Haçienda E150800 entity
Predicate hostedDJ P2777 FINISHED
Object Sasha
Sasha is a renowned British DJ and record producer known for his influential role in the development of progressive house and trance music.
 E609755 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: [The Haçienda, hostedDJ, Sasha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sasha
Context triple: [The Haçienda, hostedDJ, Sasha]
  • 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. Misha
    Misha is the bear mascot of the 1980 Moscow Summer Olympics, widely remembered for its iconic, sentimental farewell during the closing ceremony.
  • D. Sonya
    Sonya is a central, selfless and emotionally resilient young woman in Anton Chekhov’s play "Uncle Vanya," embodying unrequited love and quiet endurance amid family turmoil.
  • E. Sonya
    Sonya is a gentle, selfless young woman in Leo Tolstoy’s novel "War and Peace," known for her unrequited love and quiet loyalty to the Rostov family.
  • 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: [The Haçienda, hostedDJ, Sasha]
Generated description
Sasha is a renowned British DJ and record producer known for his influential role in the development of progressive house and trance music.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sasha
Target entity description: Sasha is a renowned British DJ and record producer known for his influential role in the development of progressive house and trance music.
  • 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. Misha
    Misha is the bear mascot of the 1980 Moscow Summer Olympics, widely remembered for its iconic, sentimental farewell during the closing ceremony.
  • D. Sonya
    Sonya is a central, selfless and emotionally resilient young woman in Anton Chekhov’s play "Uncle Vanya," embodying unrequited love and quiet endurance amid family turmoil.
  • E. Sonya
    Sonya is a gentle, selfless young woman in Leo Tolstoy’s novel "War and Peace," known for her unrequited love and quiet loyalty to the Rostov family.
  • 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_69c687f2c9508190a60b9aad31d3f358 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6d0a3a2408190bb7be4613f896bdc completed March 27, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eef91eb08190a00ae027c21b08bf completed March 27, 2026, 8:56 p.m.
NEDg Description generation batch_69c6f1ed97248190ab2253b3b2457f4f completed March 27, 2026, 9:09 p.m.
NED2 Entity disambiguation (via description) batch_69c6f2c18c0081908958b7ffeed7a787 completed March 27, 2026, 9:12 p.m.
Created at: March 27, 2026, 2:01 p.m.