Triple
T18883769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jose Cuervo |
E461900
|
entity |
| Predicate | hasBside |
P15273
|
FINISHED |
| Object |
Sexy Song
"Sexy Song" is a lesser-known B-side track associated with the single release of the country song "Jose Cuervo."
|
E1348494
|
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 Song | Statement: [Jose Cuervo, hasBside, Sexy Song]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sexy Song Context triple: [Jose Cuervo, hasBside, Sexy Song]
-
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.
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.
-
C.
"Sexy Music"
"Sexy Music" is a pop song written and produced by British songwriter Ben Findon, best known for being recorded by the Japanese duo Wink and winning the 1990 Japan Record Award.
-
D.
Sexy Girl Anthem
"Sexy Girl Anthem" is a hip hop track by American rapper Roscoe Dash, known for its club-ready production and party-oriented lyrics.
-
E.
Get Sexy
"Get Sexy" is a 2009 dance-pop single by British girl group Sugababes, known for its catchy hook and club-oriented production.
- 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 Song Triple: [Jose Cuervo, hasBside, Sexy Song]
Generated description
"Sexy Song" is a lesser-known B-side track associated with the single release of the country song "Jose Cuervo."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sexy Song Target entity description: "Sexy Song" is a lesser-known B-side track associated with the single release of the country song "Jose Cuervo."
-
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.
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.
-
C.
"Sexy Music"
"Sexy Music" is a pop song written and produced by British songwriter Ben Findon, best known for being recorded by the Japanese duo Wink and winning the 1990 Japan Record Award.
-
D.
Sexy Girl Anthem
"Sexy Girl Anthem" is a hip hop track by American rapper Roscoe Dash, known for its club-ready production and party-oriented lyrics.
-
E.
Get Sexy
"Get Sexy" is a 2009 dance-pop single by British girl group Sugababes, known for its catchy hook and club-oriented production.
- 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c3d3dcec8190a468162c6a4482f6 |
completed | April 20, 2026, 6:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0582b19ea081909438a6c7ba75316d |
completed | May 14, 2026, 8:07 a.m. |
| NEDg | Description generation | batch_6a0589d4f0448190a054bf1beb1607c7 |
completed | May 14, 2026, 8:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a058a7e4604819094e32ed3a6aeda47 |
completed | May 14, 2026, 8:40 a.m. |
Created at: April 10, 2026, 11:57 a.m.