Triple
T20579956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Curry Village |
E505624
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Jennie Curry
Jennie Curry was an early Yosemite hospitality pioneer after whom Curry Village in Yosemite National Park is named.
|
E1439194
|
NE FINISHED |
How this triple was built (4 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: Jennie Curry | Statement: [Curry Village, namedAfter, Jennie Curry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jennie Curry Context triple: [Curry Village, namedAfter, Jennie Curry]
-
A.
Mollie Currie
Mollie Currie is a person notable enough to be recognized as a bearer of the Currie surname, though specific widely known biographical details about her are not readily available.
-
B.
Mary Owens
Mary Owens was the wife of George Tyler Wood, the second Governor of Texas.
-
C.
Jennie Sewell
Jennie Sewell was the wife of British Labour politician Edward Short, Baron Glenamara.
-
D.
Connie Gilchrist
Connie Gilchrist was an American character actress known for her warm, no-nonsense portrayals in numerous Hollywood films and television shows from the 1930s through the 1960s.
-
E.
Julie Dickson
Julie Dickson is a legal philosopher and academic known for her work in jurisprudence and legal theory.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jennie Curry Triple: [Curry Village, namedAfter, Jennie Curry]
Generated description
Jennie Curry was an early Yosemite hospitality pioneer after whom Curry Village in Yosemite National Park is named.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jennie Curry Target entity description: Jennie Curry was an early Yosemite hospitality pioneer after whom Curry Village in Yosemite National Park is named.
-
A.
Mollie Currie
Mollie Currie is a person notable enough to be recognized as a bearer of the Currie surname, though specific widely known biographical details about her are not readily available.
-
B.
Mary Owens
Mary Owens was the wife of George Tyler Wood, the second Governor of Texas.
-
C.
Jennie Sewell
Jennie Sewell was the wife of British Labour politician Edward Short, Baron Glenamara.
-
D.
Connie Gilchrist
Connie Gilchrist was an American character actress known for her warm, no-nonsense portrayals in numerous Hollywood films and television shows from the 1930s through the 1960s.
-
E.
Julie Dickson
Julie Dickson is a legal philosopher and academic known for her work in jurisprudence and legal theory.
- F. None of above. chosen
Provenance (5 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_69e0b4b9669c8190b8e81fc72817d42c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a90dd3e881908915debe1f1e8509 |
completed | April 20, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08aceaa8dc819094d7ba5e7aa0d24e |
completed | May 16, 2026, 5:44 p.m. |
| NEDg | Description generation | batch_6a08b0b7e9908190866a9929f88c2b2b |
completed | May 16, 2026, 6 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08b18f6ab08190a726e7cca7b8787f |
completed | May 16, 2026, 6:03 p.m. |
Created at: April 16, 2026, 11:39 a.m.