Triple
T13060114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Majid Jordan |
E329173
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object |
My Love
"My Love" is a 2015 R&B/electronic single by Canadian duo Majid Jordan featuring Drake, known for its moody production and themes of romantic uncertainty.
|
E1022776
|
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: My Love | Statement: [Majid Jordan, notableSong, My Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: My Love Context triple: [Majid Jordan, notableSong, My Love]
-
A.
My Love
"My Love" is an R&B song by Whitney Houston from her 2002 studio album *Just Whitney*.
-
B.
My Love
"My Love" is a soft rock ballad by the British-American band Wings, led by Paul McCartney, known for its lush orchestration and heartfelt lyrics.
-
C.
My Love
"My Love" is a popular pop ballad by Irish boy band Westlife, known for its heartfelt lyrics and soaring melody.
-
D.
My Love
"My Love" is a 1965 pop song by Petula Clark that became one of her major international hits following the success of "Downtown."
-
E.
My Love
"My Love" is a 2022 synth-driven, emotionally charged song by English indie rock band Florence and the Machine, known for its soaring vocals and dance-inflected 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: My Love Triple: [Majid Jordan, notableSong, My Love]
Generated description
"My Love" is a 2015 R&B/electronic single by Canadian duo Majid Jordan featuring Drake, known for its moody production and themes of romantic uncertainty.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: My Love Target entity description: "My Love" is a 2015 R&B/electronic single by Canadian duo Majid Jordan featuring Drake, known for its moody production and themes of romantic uncertainty.
-
A.
My Love
"My Love" is a 2022 synth-driven, emotionally charged song by English indie rock band Florence and the Machine, known for its soaring vocals and dance-inflected production.
-
B.
My Love
"My Love" is a 2006 electro-R&B single by Justin Timberlake featuring T.I., known for its futuristic production by Timbaland and its critical and commercial success.
-
C.
My Love
"My Love" is a pop ballad by Celine Dion, featured on her 2007 album *Taking Chances* and known for its emotional lyrics and powerful vocal performance.
-
D.
My Love
"My Love" is an R&B song by Whitney Houston from her 2002 studio album *Just Whitney*.
-
E.
My Love
"My Love" is a soft rock ballad by the British-American band Wings, led by Paul McCartney, known for its lush orchestration and heartfelt lyrics.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980be37208190962e91f1e19df159 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e26c1f0081908100cae2cf39ac90 |
completed | May 3, 2026, 5:51 a.m. |
| NEDg | Description generation | batch_69f6e42cd5408190b687dfae73e2a720 |
completed | May 3, 2026, 5:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e5293ee481908d9a90266ac5c3e6 |
completed | May 3, 2026, 6:03 a.m. |
Created at: April 9, 2026, 8:58 p.m.