Triple
T21455479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stop the Violence Movement |
E529326
|
entity |
| Predicate | movementParticipant |
P6467
|
FINISHED |
| Object | Michel'le |
—
|
NE NERFINISHED |
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: Michel'le | Statement: [Stop the Violence Movement, movementParticipant, Michel'le]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michel'le Context triple: [Stop the Violence Movement, movementParticipant, Michel'le]
-
A.
Michel'le
chosen
Michel'le is an American R&B singer known for her distinctive high-pitched speaking voice and late-1980s and early-1990s hits such as "No More Lies."
-
B.
Michaëlle
Michaëlle is a feminine given name most notably borne by Michaëlle Jean, the former Governor General of Canada.
-
C.
Monique Faye
Monique Faye is known as the wife of acclaimed German actor Mario Adorf.
-
D.
Keisha Morris
Keisha Morris is an American woman best known for her brief marriage to iconic rapper and actor Tupac Shakur in the mid-1990s.
-
E.
Misa Hylton
Misa Hylton is a pioneering American fashion stylist and designer known for shaping the iconic looks of 1990s hip-hop and R&B artists.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c458133481908ae8b41a12c4edec |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d6da3c819082a495f5434c5554 |
completed | April 23, 2026, 9:43 a.m. |
Created at: April 16, 2026, 6:08 p.m.