Triple
T4987001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sparks, Nevada |
E112027
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | John Sparks |
E112094
|
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: John Sparks | Statement: [Sparks, Nevada, namedAfter, John Sparks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Sparks Context triple: [Sparks, Nevada, namedAfter, John Sparks]
-
A.
John Sparks
chosen
John Sparks was a 19th-century American politician who served as the 10th Governor of Nevada.
-
B.
Patrick McClusky
Patrick McClusky is an American local government official serving as the mayor of Homewood, Alabama.
-
C.
Joseph Swing
Joseph Swing was a U.S. Army general and later Commissioner of the Immigration and Naturalization Service, best known for directing large-scale immigration enforcement efforts in the 1950s.
-
D.
Homer Brightman
Homer Brightman was an American screenwriter best known for his work on classic Disney animated films, including contributing to the screenplay of the 1950 feature "Cinderella."
-
E.
Edward Daniels
Edward "Teddy" Daniels is the U.S. Marshal and psychologically complex protagonist of Dennis Lehane’s novel and Martin Scorsese’s film "Shutter Island."
- 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_69bd441be7bc8190b530362d427b97d2 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd727d473c8190beea66bf11a826e3 |
completed | March 20, 2026, 4:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be924f11c88190abe6263bf11b848c |
completed | March 21, 2026, 12:42 p.m. |
Created at: March 20, 2026, 1:34 p.m.