Triple
T13993601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Euphoria |
E336639
|
entity |
| Predicate | notableTrack |
P8087
|
FINISHED |
| Object |
Heartbeat
"Heartbeat" is a popular electronic dance track by the duo Euphoria, known for its uplifting melodies and club-friendly energy.
|
E1078772
|
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: Heartbeat | Statement: [Euphoria, notableTrack, Heartbeat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heartbeat Context triple: [Euphoria, notableTrack, Heartbeat]
-
A.
Heartbeat
"Heartbeat" is a popular electro-rap track by Childish Gambino known for its intense production and emotionally charged lyrics about a turbulent relationship.
-
B.
Heartbeat
Heartbeat is a 1986 pop-rock album by American actor and musician Don Johnson, best known for its title track and Johnson’s crossover from television stardom into music.
-
C.
Heartbeat
"Heartbeat" is a song by the British rock band Camp.
-
D.
Heartbeat
Heartbeat is a South Korean television drama series that blends romance, fantasy, and comedy, centered on a half-human, half-vampire character navigating love and identity.
-
E.
Heartbeat
"Heartbeat" is a song that follows "I Like It" in a track sequence, likely continuing the musical style or thematic elements of its predecessor.
- 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: Heartbeat Triple: [Euphoria, notableTrack, Heartbeat]
Generated description
"Heartbeat" is a popular electronic dance track by the duo Euphoria, known for its uplifting melodies and club-friendly energy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Heartbeat Target entity description: "Heartbeat" is a popular electronic dance track by the duo Euphoria, known for its uplifting melodies and club-friendly energy.
-
A.
Heartbeat
"Heartbeat" is a popular electro-rap track by Childish Gambino known for its intense production and emotionally charged lyrics about a turbulent relationship.
-
B.
Heartbeat
"Heartbeat" is a song by the British rock band Camp.
-
C.
Heartbeat
"Heartbeat" is a song that follows "I Like It" in a track sequence, likely continuing the musical style or thematic elements of its predecessor.
-
D.
Heartbeat
Heartbeat is a 1986 pop-rock album by American actor and musician Don Johnson, best known for its title track and Johnson’s crossover from television stardom into music.
-
E.
Heartbeat
Heartbeat is a South Korean television drama series that blends romance, fantasy, and comedy, centered on a half-human, half-vampire character navigating love and identity.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb3b5d881909f15a1e08bb202f3 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb652305c81908ea097d4f36a05c0 |
completed | May 7, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69fcc76f99808190945fd3621fc183ff |
completed | May 7, 2026, 5:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcc807cdc48190a3b9dd940d17dc83 |
completed | May 7, 2026, 5:12 p.m. |
Created at: April 9, 2026, 10:19 p.m.