Triple
T8188653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betty Mabry |
E191249
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Janelle Monáe |
E144148
|
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: Janelle Monáe | Statement: [Betty Mabry, influenced, Janelle Monáe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Janelle Monáe Context triple: [Betty Mabry, influenced, Janelle Monáe]
-
A.
Janelle Monáe
chosen
Janelle Monáe is an American singer, songwriter, actress, and Afrofuturist artist known for her genre-blending music, conceptual albums, and socially conscious themes.
-
B.
Mandisa Glover
Mandisa Glover is the daughter of acclaimed American actor and activist Danny Glover.
-
C.
Marsha Ambrosius
Marsha Ambrosius is an English singer-songwriter and producer best known as one half of the R&B duo Floetry and for her solo neo-soul work.
-
D.
Victoria Monét
Victoria Monét is an American singer, songwriter, and producer known for her solo R&B work and for writing hits for artists like Ariana Grande.
-
E.
Solange Knowles
Solange Knowles is an American singer, songwriter, and artist known for her genre-blending R&B music, critically acclaimed albums like "A Seat at the Table," and her distinctive visual and cultural artistry.
- 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_69ca82c5b6948190a583c096fb0a6c71 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4d9f4a488190b39bdc1792646914 |
completed | March 31, 2026, 4:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cced8437008190bf547154c2d16639 |
completed | April 1, 2026, 10:03 a.m. |
Created at: March 30, 2026, 5:41 p.m.