Triple
T2333908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mason County |
E44266
|
entity |
| Predicate | largestCity |
P235
|
FINISHED |
| Object | Shelton |
E255425
|
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: Shelton | Statement: [Mason County, largestCity, Shelton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shelton Context triple: [Mason County, largestCity, Shelton]
-
A.
Shelton
Shelton is the birth name of acclaimed American filmmaker and director Spike Lee, known for his influential works exploring race and social justice.
-
B.
Shelton
chosen
Shelton is a small city in western Washington State that serves as the administrative and economic center of Mason County.
-
C.
Drysdale
Drysdale is a surname most famously associated with Don Drysdale, a Hall of Fame Major League Baseball pitcher for the Los Angeles Dodgers.
-
D.
Crawford
Crawford is a Scottish-origin surname borne by numerous notable figures across politics, sports, arts, and entertainment.
-
E.
Jennings
Jennings is a common English surname borne by numerous notable individuals across fields such as music, sports, politics, and entertainment.
- 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_69a889132b488190bbb43ad4780ddd92 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc66d7ea081908867ff494b70df1e |
completed | March 7, 2026, 6:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae96185a1c8190a115588f8a5b92f7 |
completed | March 9, 2026, 9:42 a.m. |
Created at: March 4, 2026, 7:51 p.m.