Triple
T2979220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Carolina gold mines |
E80469
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Charlotte Mint |
E16640
|
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: Charlotte Mint | Statement: [North Carolina gold mines, associatedWith, Charlotte Mint]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charlotte Mint Context triple: [North Carolina gold mines, associatedWith, Charlotte Mint]
-
A.
Charlotte Mint
chosen
Charlotte Mint was a 19th-century branch of the U.S. Mint in North Carolina that primarily produced gold coins from locally mined gold before the Civil War.
-
B.
Charlotte York
Charlotte York is a prim, romantic, and traditional art dealer and one of the four central female protagonists in the Sex and the City franchise.
-
C.
Charlotte Greenwood
Charlotte Greenwood was an American actress, comedian, and dancer best known for her lanky physical comedy and memorable supporting roles in stage and film musicals.
-
D.
Madelaine
Madelaine is a character in the Danish crime thriller film "The Salvation."
-
E.
Carol
Carol is a feminine given name commonly used in English-speaking countries, often associated with figures in entertainment and literature.
- 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad999cca40819082e2d6d10bdb7872 |
completed | March 8, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b108ef607c8190865b079beb1b6da5 |
completed | March 11, 2026, 6:17 a.m. |
Created at: March 8, 2026, 2:58 p.m.