Triple
T8530289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yung Lean |
E201926
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Sad Boys |
E741731
|
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: Sad Boys | Statement: [Yung Lean, associatedAct, Sad Boys]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sad Boys Context triple: [Yung Lean, associatedAct, Sad Boys]
-
A.
Sad Boys
chosen
Sad Boys is a Swedish hip-hop collective and creative crew best known for pioneering the melancholic, internet-influenced “sad rap” sound alongside rapper Yung Lean.
-
B.
One of the Boys
"One of the Boys" is the 2008 major-label breakthrough pop album by Katy Perry, featuring hits like "I Kissed a Girl" and "Hot n Cold" that established her international fame.
-
C.
Dear Boy
"Dear Boy" is a song by the Indian musician Ram.
-
D.
Sad-Faced Boy
Sad-Faced Boy is a children's book by Harlem Renaissance writer Arna Bontemps that portrays the experiences and emotions of an African American boy growing up in the early 20th century.
-
E.
My Boys
My Boys is an American television sitcom that follows a female sportswriter in Chicago as she navigates her career and relationships with her close-knit group of male friends.
- 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_69ca83228b24819085d22e7dc99f5d94 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe67546248190b359c845c0161ad3 |
completed | March 31, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce890333d08190b510d970e6d6fee5 |
completed | April 2, 2026, 3:19 p.m. |
Created at: March 30, 2026, 6:17 p.m.