Triple
T17136428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freda |
E415848
|
entity |
| Predicate | derivedFrom |
P909
|
FINISHED |
| Object | Frederica |
E845985
|
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: Frederica | Statement: [Freda, derivedFrom, Frederica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frederica Context triple: [Freda, derivedFrom, Frederica]
-
A.
Frederica
chosen
Frederica is a feminine given name of Germanic origin that has been borne by various European royals and notable women.
-
B.
Anna Maria, Florida
Anna Maria, Florida is a small, laid-back island city on Florida’s Gulf Coast known for its beaches, fishing piers, and Old Florida charm.
-
C.
Kinlan
Kinlan is a surname of Irish origin borne by individuals such as actor Laurence Kinlan.
-
D.
Clearwater
Clearwater is a coastal city in Florida known for its white-sand beaches, tourism, and location on the Gulf of Mexico within the greater Tampa Bay metropolitan area.
-
E.
Clearwater
Clearwater is a small town in British Columbia, Canada, known as a gateway to Wells Gray Provincial Park and its numerous waterfalls and outdoor recreation opportunities.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f2cf1c588190986167adcf4851b5 |
completed | April 18, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a014150d63081908a5614f85694e57a |
completed | May 11, 2026, 2:39 a.m. |
Created at: April 10, 2026, 5:36 a.m.