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.