Triple
T14067693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fernand |
E338517
|
entity |
| Predicate | hasRelatedName |
P3889
|
FINISHED |
| Object | Hernando |
E292534
|
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: Hernando | Statement: [Fernand, hasRelatedName, Hernando]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hernando Context triple: [Fernand, hasRelatedName, Hernando]
-
A.
Hernando
chosen
Hernando is the Spanish form of the given name Ferdinand, historically borne by several notable figures including explorers and monarchs.
-
B.
Hernando, Florida
Hernando, Florida is an unincorporated community in Citrus County known for its access to outdoor recreation, including biking and nature activities along the nearby Withlacoochee State Trail.
-
C.
Sanford
Sanford is a surname most notably associated with American actress Isabel Sanford, famed for her role as Louise "Weezy" Jefferson on the sitcom The Jeffersons.
-
D.
Sanford
Sanford is a classic American television sitcom best known for its sharp-tongued humor and portrayal of a cantankerous junk dealer and his family in Los Angeles.
-
E.
Sanford
Sanford is a small town located in Covington County in the southern part of the U.S. state of Alabama.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de568b81f08190a571004261c0e8e4 |
completed | April 14, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb66aeff8819088239226bbe25fd5 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:21 p.m.