Triple
T16122396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hot Chip |
E391179
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Melody of Love
"Melody of Love" is a synth-driven electronic pop song by British band Hot Chip, known for its warm, euphoric sound and emotionally uplifting lyrics.
|
E1196736
|
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: Melody of Love | Statement: [Hot Chip, notableWork, Melody of Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melody of Love Context triple: [Hot Chip, notableWork, Melody of Love]
-
A.
My Melody of Love
"My Melody of Love" is a 1974 pop song by Bobby Vinton that became one of his signature hits, notable for its blend of English and Polish lyrics.
-
B.
Sweet Love
"Sweet Love" is a track featured on Wizkid’s 2017 album *Sounds from the Other Side*, blending Afrobeats with smooth R&B influences.
-
C.
Magic of Love
"Magic of Love" is a notable track by the Japanese pop duo Do As Infinity, known for its melodic J-pop sound and emotional lyrics.
-
D.
Strings of Love
"Strings of Love" is a song by the alternative rock band Ghost of a Dog.
-
E.
Song of Love
"Song of Love" is a 1947 biographical romantic drama film starring Paul Henreid, Katharine Hepburn, and Robert Walker that portrays the life and music of composer Robert Schumann.
- 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: Melody of Love Triple: [Hot Chip, notableWork, Melody of Love]
Generated description
"Melody of Love" is a synth-driven electronic pop song by British band Hot Chip, known for its warm, euphoric sound and emotionally uplifting lyrics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Melody of Love Target entity description: "Melody of Love" is a synth-driven electronic pop song by British band Hot Chip, known for its warm, euphoric sound and emotionally uplifting lyrics.
-
A.
My Melody of Love
"My Melody of Love" is a 1974 pop song by Bobby Vinton that became one of his signature hits, notable for its blend of English and Polish lyrics.
-
B.
Sweet Love
"Sweet Love" is a track featured on Wizkid’s 2017 album *Sounds from the Other Side*, blending Afrobeats with smooth R&B influences.
-
C.
Magic of Love
"Magic of Love" is a notable track by the Japanese pop duo Do As Infinity, known for its melodic J-pop sound and emotional lyrics.
-
D.
Strings of Love
"Strings of Love" is a song by the alternative rock band Ghost of a Dog.
-
E.
Song of Love
"Song of Love" is a 1947 biographical romantic drama film starring Paul Henreid, Katharine Hepburn, and Robert Walker that portrays the life and music of composer Robert Schumann.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e202027e78819091192aa62aedde13 |
completed | April 17, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2a7fe308190a9a2ef7815e788c6 |
completed | May 10, 2026, 2:51 a.m. |
| NEDg | Description generation | batch_69fff3b25ba081909c396431ace865ac |
completed | May 10, 2026, 2:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fff4a2964c8190bfa8c2fa0f934abe |
completed | May 10, 2026, 2:59 a.m. |
Created at: April 10, 2026, 5 a.m.