Triple
T21722791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johnny & Associates |
E536201
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Sexy Zone
Sexy Zone is a Japanese boy band formed under the talent agency Johnny & Associates, known for its pop music releases and performances.
|
E1498830
|
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: Sexy Zone | Statement: [Johnny & Associates, hasPart, Sexy Zone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sexy Zone Context triple: [Johnny & Associates, hasPart, Sexy Zone]
-
A.
Sexy Star
Sexy Star is a Mexican professional wrestler and masked luchadora known for her high-flying style and prominent role in modern lucha libre promotions.
-
B.
Get Sexy
"Get Sexy" is a 2009 dance-pop single by British girl group Sugababes, known for its catchy hook and club-oriented production.
-
C.
Sexy Song
"Sexy Song" is a lesser-known B-side track associated with the single release of the country song "Jose Cuervo."
-
D.
Sex Me
"Sex Me" is an R&B single by American singer R. Kelly from his debut solo album, known for its sensual slow-jam style and explicit lyrics.
-
E.
Sexy Boy
"Sexy Boy" is a popular electronic pop song by the French duo Air, known for its dreamy synths and laid-back, atmospheric style.
- 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: Sexy Zone Triple: [Johnny & Associates, hasPart, Sexy Zone]
Generated description
Sexy Zone is a Japanese boy band formed under the talent agency Johnny & Associates, known for its pop music releases and performances.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sexy Zone Target entity description: Sexy Zone is a Japanese boy band formed under the talent agency Johnny & Associates, known for its pop music releases and performances.
-
A.
Sexy Star
Sexy Star is a Mexican professional wrestler and masked luchadora known for her high-flying style and prominent role in modern lucha libre promotions.
-
B.
Get Sexy
"Get Sexy" is a 2009 dance-pop single by British girl group Sugababes, known for its catchy hook and club-oriented production.
-
C.
Sexy Song
"Sexy Song" is a lesser-known B-side track associated with the single release of the country song "Jose Cuervo."
-
D.
Sex Me
"Sex Me" is an R&B single by American singer R. Kelly from his debut solo album, known for its sensual slow-jam style and explicit lyrics.
-
E.
Sexy Boy
"Sexy Boy" is a popular electronic pop song by the French duo Air, known for its dreamy synths and laid-back, atmospheric style.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd97032c08190820b87a288e77293 |
completed | April 27, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a24b98e6c8190a2afff6b11c78963 |
completed | May 17, 2026, 8:27 p.m. |
| NEDg | Description generation | batch_6a0a28d08738819081084d9d1c91e6ef |
completed | May 17, 2026, 8:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a2c3a1fc481908c46c86bc6bda9fa |
completed | May 17, 2026, 8:59 p.m. |
Created at: April 16, 2026, 6:48 p.m.