Triple
T5875349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westlife |
E130612
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
My Love
"My Love" is a popular pop ballad by Irish boy band Westlife, known for its heartfelt lyrics and soaring melody.
|
E553479
|
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: [Westlife, notableWork, My Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: My Love Context triple: [Westlife, notableWork, 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 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 soft rock ballad by the British-American band Wings, led by Paul McCartney, known for its lush orchestration and heartfelt lyrics.
-
D.
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.
-
E.
The One I Love
The One I Love is a 2014 American surreal romantic dramedy film starring Mark Duplass and Elisabeth Moss, centered on a troubled couple whose weekend retreat takes an unexpectedly bizarre turn.
- 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: [Westlife, notableWork, My Love]
Generated description
"My Love" is a popular pop ballad by Irish boy band Westlife, known for its heartfelt lyrics and soaring melody.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: My Love Target entity description: "My Love" is a popular pop ballad by Irish boy band Westlife, known for its heartfelt lyrics and soaring melody.
-
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 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 soft rock ballad by the British-American band Wings, led by Paul McCartney, known for its lush orchestration and heartfelt lyrics.
-
D.
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.
-
E.
The One I Love
The One I Love is a 2014 American surreal romantic dramedy film starring Mark Duplass and Elisabeth Moss, centered on a troubled couple whose weekend retreat takes an unexpectedly bizarre turn.
- 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_69c0085523688190bfd487479ce819e6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c035fc86308190851b282456bcd715 |
completed | March 22, 2026, 6:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b12242dc819093ccd41c9705dd72 |
completed | March 23, 2026, 3:18 a.m. |
| NEDg | Description generation | batch_69c0b1e5cdc081908d0d2b76701d20ea |
completed | March 23, 2026, 3:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0b24d7d148190901e233d815d21ad |
completed | March 23, 2026, 3:23 a.m. |
Created at: March 22, 2026, 3:57 p.m.