Triple
T21855173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goodsprings, Nevada |
E539605
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Joseph Good |
—
|
NE NERFINISHED |
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: Joseph Good | Statement: [Goodsprings, Nevada, namedAfter, Joseph Good]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseph Good Context triple: [Goodsprings, Nevada, namedAfter, Joseph Good]
-
A.
Joseph Good
chosen
Joseph Good was an early settler and prominent local figure after whom the town of Goodsprings, Nevada, was named.
-
B.
Bill Goodwin
Bill Goodwin was an American radio and television announcer and actor best known for his work on comedy programs in the 1940s and 1950s.
-
C.
John Goodland
John Goodland is a notable individual associated with Grand Chute, Wisconsin, recognized for his significance to the local community.
-
D.
Lloyd Goodrich
Lloyd Goodrich was an influential American art historian, curator, and longtime director of the Whitney Museum of American Art, known for championing American artists.
-
E.
Daniel L. Goodwin
Daniel L. Goodwin is an American real estate entrepreneur and philanthropist best known for building Inland Real Estate Group into one of the nation’s largest commercial real estate and finance organizations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47829648190bbe2d1d7033768ec |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0d635b59c81908810480f3802b847 |
completed | April 28, 2026, 3:45 p.m. |
Created at: April 16, 2026, 6:56 p.m.