Triple
T14728453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcella Araica |
E346004
|
entity |
| Predicate | hasWorkedWith |
P9615
|
FINISHED |
| Object | Ludacris |
E21124
|
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: Ludacris | Statement: [Marcella Araica, hasWorkedWith, Ludacris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ludacris Context triple: [Marcella Araica, hasWorkedWith, Ludacris]
-
A.
Ludacris
chosen
Ludacris is an American rapper, actor, and entrepreneur known for his witty Southern hip hop style and roles in the Fast & Furious film franchise.
-
B.
Sheek Louch
Sheek Louch is an American rapper best known as a member of the hip hop group The LOX and co-founder of the D-Block record label.
-
C.
Booba
Booba is a prominent French rapper and entrepreneur known for his influential role in the French hip-hop scene and numerous hit albums and collaborations.
-
D.
50 Cent
50 Cent is an American rapper, actor, and entrepreneur known for his influential early-2000s hip-hop albums and his breakout debut "Get Rich or Die Tryin'."
-
E.
Nate Dogg
Nate Dogg was an American singer and rapper renowned for his smooth, melodic hooks and pivotal contributions to West Coast G-funk and 1990s hip hop.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec26179688190ba9f3cd045da0e2a |
completed | April 14, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf099eaf48190b89032b6ac769e67 |
completed | May 8, 2026, 2:18 p.m. |
Created at: April 10, 2026, 1:29 a.m.