Triple
T14631138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Machel Montano |
E343479
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Fast Wine
"Fast Wine" is a popular soca song by Trinidadian artist Machel Montano, known for its infectious rhythm and dance-focused party vibe.
|
E1110488
|
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: Fast Wine | Statement: [Machel Montano, notableWork, Fast Wine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fast Wine Context triple: [Machel Montano, notableWork, Fast Wine]
-
A.
In the Wine Time
"In the Wine Time" is a 1968 play by African American dramatist Ed Bullins that portrays life and struggles in an urban Black community as part of his influential Black Arts Movement–era work.
-
B.
Slow Wine
"Slow Wine" is an R&B song by the American group Tony! Toni! Toné! known for its smooth, romantic groove and soulful vocal harmonies.
-
C.
All the Wine
"All the Wine" is a song by the American indie rock band The National, known for its brooding lyrics and melancholic atmosphere.
-
D.
Mighty Wine
Mighty Wine is a track from Wizkid’s acclaimed Afrobeats album "Made in Lagos."
-
E.
Dirty Wine
"Dirty Wine" is a track by Nigerian artist Wizkid featured on his 2017 afrobeats album *Sounds from the Other Side*.
- 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: Fast Wine Triple: [Machel Montano, notableWork, Fast Wine]
Generated description
"Fast Wine" is a popular soca song by Trinidadian artist Machel Montano, known for its infectious rhythm and dance-focused party vibe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fast Wine Target entity description: "Fast Wine" is a popular soca song by Trinidadian artist Machel Montano, known for its infectious rhythm and dance-focused party vibe.
-
A.
In the Wine Time
"In the Wine Time" is a 1968 play by African American dramatist Ed Bullins that portrays life and struggles in an urban Black community as part of his influential Black Arts Movement–era work.
-
B.
Slow Wine
"Slow Wine" is an R&B song by the American group Tony! Toni! Toné! known for its smooth, romantic groove and soulful vocal harmonies.
-
C.
All the Wine
"All the Wine" is a song by the American indie rock band The National, known for its brooding lyrics and melancholic atmosphere.
-
D.
Mighty Wine
Mighty Wine is a track from Wizkid’s acclaimed Afrobeats album "Made in Lagos."
-
E.
Dirty Wine
"Dirty Wine" is a track by Nigerian artist Wizkid featured on his 2017 afrobeats album *Sounds from the Other Side*.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4a912248190a3df7f821395c776 |
completed | April 14, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda931834081909d90ec0479eca3f9 |
completed | May 8, 2026, 9:13 a.m. |
| NEDg | Description generation | batch_69fdb27c8db481909330d299faded4f3 |
completed | May 8, 2026, 9:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdb3b24320819098dd7fab0c3a0507 |
completed | May 8, 2026, 9:58 a.m. |
Created at: April 10, 2026, 1:26 a.m.