Triple
T6086891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Gaston |
E135659
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | “The Old North State” |
E121141
|
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: “The Old North State” | Statement: [William Gaston, notableWork, “The Old North State”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “The Old North State” Context triple: [William Gaston, notableWork, “The Old North State”]
-
A.
Old North State
chosen
Old North State is a traditional nickname referring to the U.S. state of North Carolina.
-
B.
Carolina
"Carolina" is a country music album by American singer-songwriter Eric Church that helped establish his reputation for blending traditional country with rock influences.
-
C.
Carolina
Carolina is a major municipality in Puerto Rico, known for its urban character, commercial centers, and proximity to San Juan.
-
D.
Carolina
Carolina is a common nickname for the University of North Carolina at Chapel Hill, a major public research university known for its strong academics and athletic programs.
-
E.
Carolina
Carolina is a feminine given name of Latin origin, commonly used in various languages as a form of Caroline or Charles.
- 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_69c0087bcc788190b20f093d3a6c60ec |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0578bf2508190859c2dbd4c10b316 |
completed | March 22, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d60e824819098a9f5fc5cc00be4 |
completed | March 23, 2026, 11 a.m. |
Created at: March 22, 2026, 4:12 p.m.