Triple
T17320292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hershey Bears |
E420540
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Hershey |
—
|
NE ONNED1 |
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: Hershey | Statement: [Hershey Bears, city, Hershey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hershey Context triple: [Hershey Bears, city, Hershey]
-
A.
The Hershey Company
The Hershey Company is a major American chocolate and confectionery manufacturer best known for products like Hershey’s chocolate bars, Reese’s, and Kit Kat in the U.S.
-
B.
Mars, Incorporated
Mars, Incorporated is a major American multinational manufacturer of confectionery, pet food, and other food products, known for brands such as M&M’s, Snickers, and Pedigree.
-
C.
Hershey Entertainment and Resorts Company
chosen
Hershey Entertainment and Resorts Company is a privately held hospitality and entertainment company that operates theme parks, resorts, and related attractions associated with the Hershey chocolate brand.
-
D.
Nabisco
Nabisco is a major American snack food company best known for iconic brands like Oreo cookies and Ritz crackers.
-
E.
Hersey
Hersey is a surname most notably associated with John Hersey, the American writer and journalist renowned for his work "Hiroshima."
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439a066b481908e8aee1885809eba |
completed | April 19, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01954cfd048190b201c5e457c2a4a2 |
in_progress | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:43 a.m.