Triple
T22079486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Megalyn Echikunwoke |
E545610
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Megalyn Echikunwoke |
—
|
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: Megalyn Echikunwoke | Statement: [Megalyn Echikunwoke, name, Megalyn Echikunwoke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Megalyn Echikunwoke Context triple: [Megalyn Echikunwoke, name, Megalyn Echikunwoke]
-
A.
Megalyn Echikunwoke
chosen
Megalyn Echikunwoke is an American actress known for her work in film and television, including roles in series like "CSI: Miami," "Arrow," and "The 4400."
-
B.
Yvonne Orji
Yvonne Orji is a Nigerian-American actress and comedian best known for her role as Molly Carter on the HBO series "Insecure."
-
C.
Amber Atkins
Amber Atkins is the ambitious small-town teenager and beauty pageant contestant portrayed by Kirsten Dunst in the dark comedy film "Drop Dead Gorgeous."
-
D.
Yaya DaCosta
Yaya DaCosta is an American actress and model known for her work in film, television, and fashion, including roles in "America's Next Top Model," "The Butler," and "Chicago Med."
-
E.
Jessika Williams
Jessika Williams is an actress known for appearing in the Doctor Who episode "Forest of the Dead."
- 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_69e11e3523488190badd54b5d580c00d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128b56d5c8190aa825fe02e3ad917 |
completed | April 28, 2026, 9:37 p.m. |
Created at: April 16, 2026, 8:28 p.m.