Triple

T7022186
Position Surface form Disambiguated ID Type / Status
Subject Ultra Q E162852 entity
Predicate notableSong P4 FINISHED
Object VR Sex
VR Sex is a song by the Japanese rock band Ultra Q, known for blending energetic guitar-driven sounds with modern alternative rock influences.
E636715 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: VR Sex | Statement: [Ultra Q, notableSong, VR Sex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VR Sex
Context triple: [Ultra Q, notableSong, VR Sex]
  • A. Sexus
    Sexus is an autobiographical novel by Henry Miller that vividly chronicles his bohemian life, sexual exploits, and artistic struggles in early 20th-century New York.
  • B. AVN
    AVN is the IATA airport code for Avignon – Provence Airport in southeastern France.
  • C. Sext
    Sext is one of the traditional daytime prayer hours in Christian liturgy, typically observed around midday.
  • D. FutureSex/LoveShow
    FutureSex/LoveShow was Justin Timberlake’s worldwide concert tour supporting his "FutureSex/LoveSounds" album, known for its elaborate staging, choreography, and high-energy pop/R&B performances.
  • E. Green Porno
    Green Porno is a quirky, educational short film series created and performed by Isabella Rossellini that humorously explores and reenacts the mating habits of various animals.
  • 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: VR Sex
Triple: [Ultra Q, notableSong, VR Sex]
Generated description
VR Sex is a song by the Japanese rock band Ultra Q, known for blending energetic guitar-driven sounds with modern alternative rock influences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: VR Sex
Target entity description: VR Sex is a song by the Japanese rock band Ultra Q, known for blending energetic guitar-driven sounds with modern alternative rock influences.
  • A. Sexus
    Sexus is an autobiographical novel by Henry Miller that vividly chronicles his bohemian life, sexual exploits, and artistic struggles in early 20th-century New York.
  • B. AVN
    AVN is the IATA airport code for Avignon – Provence Airport in southeastern France.
  • C. Sext
    Sext is one of the traditional daytime prayer hours in Christian liturgy, typically observed around midday.
  • D. FutureSex/LoveShow
    FutureSex/LoveShow was Justin Timberlake’s worldwide concert tour supporting his "FutureSex/LoveSounds" album, known for its elaborate staging, choreography, and high-energy pop/R&B performances.
  • E. Green Porno
    Green Porno is a quirky, educational short film series created and performed by Isabella Rossellini that humorously explores and reenacts the mating habits of various animals.
  • 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_69c6885b26248190a857541e3d10e299 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1ec34a48190b64cafb94e2f8706 completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7757c87788190b09ced669b5c4d83 completed March 28, 2026, 6:30 a.m.
NEDg Description generation batch_69c7777be0d08190b6be22c72d2da12e completed March 28, 2026, 6:38 a.m.
NED2 Entity disambiguation (via description) batch_69c77851ace48190a2a4899181f3d14a completed March 28, 2026, 6:42 a.m.
Created at: March 27, 2026, 2:35 p.m.