Triple
T4521538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What Goes Around... Comes Around |
E103280
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Danja |
E346003
|
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: Danja | Statement: [What Goes Around... Comes Around, producer, Danja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danja Context triple: [What Goes Around... Comes Around, producer, Danja]
-
A.
Danja
chosen
Danja is an American record producer and songwriter known for his work on numerous pop and hip-hop hits alongside artists like Justin Timberlake and Nelly Furtado.
-
B.
Kaja
Kaja is a diminutive or nickname commonly used for the given name Katarina.
-
C.
Neilia
Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
-
D.
Kara
Kara is a steel bracelet worn by Sikhs as a religious symbol of unity, restraint, and connection to the divine.
-
E.
Danneels
Danneels is a Belgian surname most notably associated with Cardinal Godfried Danneels, a prominent Roman Catholic prelate and former Archbishop of Mechelen-Brussels.
- 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_69bd43dba59881908cf59b31df8c7ae1 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd574bd6908190b939d92b5809b101 |
completed | March 20, 2026, 2:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdc55254848190940c506e75d79933 |
completed | March 20, 2026, 10:08 p.m. |
Created at: March 20, 2026, 1:02 p.m.