Triple
T14363477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ONEPOINTFIVE |
E356162
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
song "TOGETHER"
"TOGETHER" is a track from Aminé’s 2018 album ONEPOINTFIVE that blends introspective lyrics with melodic, laid-back production.
|
E1095796
|
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: song "TOGETHER" | Statement: [ONEPOINTFIVE, hasPart, song "TOGETHER"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: song "TOGETHER" Context triple: [ONEPOINTFIVE, hasPart, song "TOGETHER"]
-
A.
“Together”
"Together" is the pop debut album by British junior pop group S Club 8, showcasing their early 2000s teen pop sound.
-
B.
“Get It Together”
"Get It Together" is a song by British singer-songwriter Seal featured on his fourth studio album, Seal IV.
-
C.
song "Side to Side"
"Side to Side" is a reggae-pop and R&B-infused hit single by Ariana Grande featuring Nicki Minaj, known for its catchy chorus and playful, innuendo-laden lyrics.
-
D.
Fall Together
"Fall Together" is an indie rock song by Australian band The Temper Trap, known for its atmospheric sound and emotive vocals.
-
E.
Get It Together
"Get It Together" is a dancehall-influenced track by Drake featuring Jorja Smith and Black Coffee, known for its smooth production and prominent use of house and Afrobeat elements.
- 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: song "TOGETHER" Triple: [ONEPOINTFIVE, hasPart, song "TOGETHER"]
Generated description
"TOGETHER" is a track from Aminé’s 2018 album ONEPOINTFIVE that blends introspective lyrics with melodic, laid-back production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: song "TOGETHER" Target entity description: "TOGETHER" is a track from Aminé’s 2018 album ONEPOINTFIVE that blends introspective lyrics with melodic, laid-back production.
-
A.
“Together”
"Together" is the pop debut album by British junior pop group S Club 8, showcasing their early 2000s teen pop sound.
-
B.
“Get It Together”
"Get It Together" is a song by British singer-songwriter Seal featured on his fourth studio album, Seal IV.
-
C.
song "Side to Side"
"Side to Side" is a reggae-pop and R&B-infused hit single by Ariana Grande featuring Nicki Minaj, known for its catchy chorus and playful, innuendo-laden lyrics.
-
D.
Fall Together
"Fall Together" is an indie rock song by Australian band The Temper Trap, known for its atmospheric sound and emotive vocals.
-
E.
Get It Together
"Get It Together" is a dancehall-influenced track by Drake featuring Jorja Smith and Black Coffee, known for its smooth production and prominent use of house and Afrobeat elements.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fabec088190bd8128371b29e958 |
completed | April 14, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c4cb0c4819094d59b4b1d43588b |
completed | May 8, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fd4d912ff08190b3594dd134ef7e40 |
completed | May 8, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4e7e7c508190a42070a2f2b33425 |
completed | May 8, 2026, 2:46 a.m. |
Created at: April 10, 2026, 1:15 a.m.