Triple
T14739509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dawnn Lewis |
E346304
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Dawnn |
E873888
|
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: Dawnn | Statement: [Dawnn Lewis, givenName, Dawnn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dawnn Context triple: [Dawnn Lewis, givenName, Dawnn]
-
A.
Dawnn
chosen
Dawnn is a feminine given name, a variant spelling of "Dawn" that evokes the imagery of daybreak and new beginnings.
-
B.
Dawn Anna
Dawn Anna is a 2005 television drama film that portrays the true story of a resilient single mother overcoming serious illness and personal tragedy.
-
C.
Dawnna
Dawnna is a feminine given name, typically considered a modern or alternative spelling of the name Donna.
-
D.
Dyonne
Dyonne is an alternative form of the name Dion, typically used as a given name.
-
E.
Dayna
Dayna is a given name, typically used as a feminine variant of the name Dana.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7345680819093e901233a064e48 |
completed | April 14, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb91fdf88190bdcc9a93289f6b7f |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:29 a.m.