Triple
T10246550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drop |
E240228
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Rico Love |
E210658
|
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: Rico Love | Statement: [Drop, writer, Rico Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rico Love Context triple: [Drop, writer, Rico Love]
-
A.
Rico Love
chosen
Rico Love is an American songwriter and record producer known for crafting R&B and hip-hop hits for major artists such as Usher, Beyoncé, and Nelly.
-
B.
Reggie Love
Reggie Love is a determined and compassionate lawyer who becomes the young protagonist’s protector and advocate in the legal thriller film "The Client."
-
C.
Troy Winbush
Troy Winbush is an American actor known for his supporting roles in film and television, including appearances in dramas, comedies, and procedural series.
-
D.
Erick Sermon
Erick Sermon is an American rapper and record producer best known as one half of the influential hip hop duo EPMD and for his extensive work shaping the sound of 1990s East Coast rap.
-
E.
Marques Houston
Marques Houston is an American R&B singer, songwriter, and actor best known as a member of the group Immature/IMx and for his roles in television and film.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d22cfe1c8190afae178e11a59b8b |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7a597188190880200d13784f18f |
completed | April 9, 2026, 12:49 a.m. |
Created at: April 6, 2026, 11:27 a.m.