Triple
T10334205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucinda |
E242956
|
entity |
| Predicate | hasAlternativeSpelling |
P457
|
FINISHED |
| Object | Lucynda |
E242956
|
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: Lucynda | Statement: [Lucinda, hasAlternativeSpelling, Lucynda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucynda Context triple: [Lucinda, hasAlternativeSpelling, Lucynda]
-
A.
Earlitha
Earlitha "Cookie" Johnson is an American businesswoman and philanthropist best known as the wife of NBA legend Magic Johnson and for her work in fashion and HIV/AIDS advocacy.
-
B.
Loralai
Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
-
C.
Sylvana
Sylvana is a feminine given name, often considered a variant of Silvana, typically associated with meanings related to forests or woodland.
-
D.
Lucinda
chosen
Lucinda is a feminine given name used in various cultures, often considered a variant of Lucy or Lucille.
-
E.
Nerissa
Nerissa is a witty and loyal lady-in-waiting to Portia in Shakespeare’s play "The Merchant of Venice," known for her intelligence, humor, and role in the play’s romantic subplots.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4dfc366b481909c49f199892e9d42 |
completed | April 7, 2026, 10:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d75054515081908240f985f8b6e2df |
completed | April 9, 2026, 7:08 a.m. |
Created at: April 6, 2026, 11:53 a.m.