Triple
T15939626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tory Lanez |
E386523
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object |
Luv
"Luv" is a dancehall-infused R&B single by Canadian rapper and singer Tory Lanez that helped elevate his mainstream popularity.
|
E1185474
|
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: Luv | Statement: [Tory Lanez, notableSingle, Luv]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luv Context triple: [Tory Lanez, notableSingle, Luv]
-
A.
Luv
Luv is a ruthless and highly skilled replicant enforcer who serves as Niander Wallace’s coldly efficient right hand in Blade Runner 2049.
-
B.
Luv
Luv is a 2012 American crime drama film about an ex-con trying to mentor his young nephew during a day that spirals into violence and moral conflict.
-
C.
LUV
LUV is the stock ticker symbol for Southwest Airlines, a major U.S. low-cost airline known for its extensive domestic route network and no-frills service model.
-
D.
This Love
"This Love" is a soulful R&B song by American singer-songwriter Dwele, showcasing his smooth vocals and jazz-influenced production.
-
E.
This Love
"This Love" is a moody, atmospheric ballad by Taylor Swift from her pop album 1989, reflecting on the cyclical nature of a rekindled romance.
- 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: Luv Triple: [Tory Lanez, notableSingle, Luv]
Generated description
"Luv" is a dancehall-infused R&B single by Canadian rapper and singer Tory Lanez that helped elevate his mainstream popularity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luv Target entity description: "Luv" is a dancehall-infused R&B single by Canadian rapper and singer Tory Lanez that helped elevate his mainstream popularity.
-
A.
Luv
Luv is a ruthless and highly skilled replicant enforcer who serves as Niander Wallace’s coldly efficient right hand in Blade Runner 2049.
-
B.
Luv
Luv is a 2012 American crime drama film about an ex-con trying to mentor his young nephew during a day that spirals into violence and moral conflict.
-
C.
LUV
LUV is the stock ticker symbol for Southwest Airlines, a major U.S. low-cost airline known for its extensive domestic route network and no-frills service model.
-
D.
This Love
"This Love" is a soulful R&B song by American singer-songwriter Dwele, showcasing his smooth vocals and jazz-influenced production.
-
E.
This Love
"This Love" is a moody, atmospheric ballad by Taylor Swift from her pop album 1989, reflecting on the cyclical nature of a rekindled romance.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156ad9988819089ad7822e0f46177 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5ba070c8190b6af6cb21bddd7f1 |
completed | May 9, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69ffb77a69188190a7b4910a0ce2534c |
completed | May 9, 2026, 10:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffbbcd0a948190972ddf2202faa85b |
completed | May 9, 2026, 10:57 p.m. |
Created at: April 10, 2026, 4:53 a.m.