Triple
T14714063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivan Barias |
E345629
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | Musiq Soulchild |
E92367
|
NE FINISHED |
How this triple was built (2 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: Musiq Soulchild | Statement: [Ivan Barias, collaboratedWith, Musiq Soulchild]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Musiq Soulchild Context triple: [Ivan Barias, collaboratedWith, Musiq Soulchild]
-
A.
Musiq Soulchild
chosen
Musiq Soulchild is an American R&B and neo-soul singer-songwriter known for smooth, soulful hits like "Love" and "Just Friends (Sunny)."
-
B.
J. Rey Soul
J. Rey Soul is a Filipino-American singer best known as a featured vocalist and later member associated with the Black Eyed Peas.
-
C.
Jill Scott
Jill Scott is an American singer-songwriter, poet, and actress known for her soulful neo-soul music and powerful, expressive vocals.
-
D.
Syreeta Wright
Syreeta Wright was an American singer-songwriter and Motown artist known for her collaborations with Stevie Wonder and her influential contributions to soul and R&B music in the 1970s.
-
E.
Cotton Green
Cotton Green is a suburban railway station in Mumbai, India, serving local commuters on the city’s Harbour Line.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb98513b081908b230f6ac79c72ad |
completed | April 14, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf0913d6c8190886df4cd0a92aa80 |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:29 a.m.