Triple
T366990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Half Eagle |
E7981
|
entity |
| Predicate | mintLocations |
P11667
|
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: [Half Eagle, mintLocations, Charlotte Mint]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charlotte Mint Context triple: [Half Eagle, mintLocations, 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.
Chloe
Chloe is the birth name of Nobel Prize–winning American novelist Toni Morrison, renowned for her powerful explorations of African American life and history.
-
C.
Barbara
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
-
D.
Caroline
Caroline von Humboldt was a German salonnière, art patron, and intellectual known for her influential role in Berlin’s cultural and scholarly life in the early 19th century.
-
E.
Maxine
Maxine is a character featured in the film "Once Again."
- 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_69a2e7e880008190a6ad7e06e5d03007 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ee29ede0819095279af95b53e350 |
completed | Feb. 28, 2026, 1:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3e867bd50819083023e6021b784f4 |
completed | March 1, 2026, 7:19 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.