Triple

T10569516
Position Surface form Disambiguated ID Type / Status
Subject Don Omar E249441 entity
Predicate notableWork P4 FINISHED
Object Virtual Diva
"Virtual Diva" is a reggaeton/electronic fusion track by Puerto Rican artist Don Omar, known for its futuristic sound and club-oriented production.
E871935 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: Virtual Diva | Statement: [Don Omar, notableWork, Virtual Diva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Virtual Diva
Context triple: [Don Omar, notableWork, Virtual Diva]
  • A. Diva
    "Diva" is a swaggering, club-ready R&B/pop track by Beyoncé that celebrates female confidence and star power.
  • B. Diva’s Lament
    Diva’s Lament is a comedic show-stopping solo number from the Broadway musical *Spamalot*, in which the Lady of the Lake humorously complains about her lack of stage time and the demands placed on divas.
  • C. Vocia
    Vocia is Biamp Systems’ networked paging and voice evacuation platform designed for scalable, distributed audio communication in commercial and public facilities.
  • D. Optimum Voice
    Optimum Voice is a residential and business digital phone service offering VoIP-based calling over Cablevision’s Optimum cable network.
  • E. VIRGIN
    VIRGIN is the distinctive radio callsign used by Virgin Atlantic Airways for its commercial flight operations.
  • 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: Virtual Diva
Triple: [Don Omar, notableWork, Virtual Diva]
Generated description
"Virtual Diva" is a reggaeton/electronic fusion track by Puerto Rican artist Don Omar, known for its futuristic sound and club-oriented production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Virtual Diva
Target entity description: "Virtual Diva" is a reggaeton/electronic fusion track by Puerto Rican artist Don Omar, known for its futuristic sound and club-oriented production.
  • A. Diva
    "Diva" is a swaggering, club-ready R&B/pop track by Beyoncé that celebrates female confidence and star power.
  • B. Diva’s Lament
    Diva’s Lament is a comedic show-stopping solo number from the Broadway musical *Spamalot*, in which the Lady of the Lake humorously complains about her lack of stage time and the demands placed on divas.
  • C. Vocia
    Vocia is Biamp Systems’ networked paging and voice evacuation platform designed for scalable, distributed audio communication in commercial and public facilities.
  • D. Optimum Voice
    Optimum Voice is a residential and business digital phone service offering VoIP-based calling over Cablevision’s Optimum cable network.
  • E. VIRGIN
    VIRGIN is the distinctive radio callsign used by Virgin Atlantic Airways for its commercial flight operations.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d52730fd4481908b3f4eb80ca209f2 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b4c26ec8190910efdf4a236d654 completed April 10, 2026, 7:11 p.m.
NEDg Description generation batch_69d94e2f16788190bec54b250dad09a9 completed April 10, 2026, 7:23 p.m.
NED2 Entity disambiguation (via description) batch_69d9518517608190b5036694b83f5f58 completed April 10, 2026, 7:37 p.m.
Created at: April 6, 2026, 12:37 p.m.