Triple
T6598419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clover Todd |
E148533
|
entity |
| Predicate | marriedName |
P18
|
FINISHED |
| Object | Dulles |
E227400
|
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: Dulles | Statement: [Clover Todd, marriedName, Dulles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dulles Context triple: [Clover Todd, marriedName, Dulles]
-
A.
Dulles
chosen
Dulles is a notable American surname most prominently associated with influential 20th-century U.S. statesmen and intelligence officials, including CIA Director Allen Dulles and Secretary of State John Foster Dulles.
-
B.
Dulles, Virginia
Dulles, Virginia is an unincorporated community in Loudoun County best known as the location of Washington Dulles International Airport, a major airport serving the Washington, D.C. metropolitan area.
-
C.
Arlington
Arlington is a suburban town in Middlesex County, Massachusetts, located northwest of Boston and known for its historic sites and residential character.
-
D.
Arlington
Arlington is a small city in northern Washington State, United States, situated in Snohomish County north of Seattle.
-
E.
Arlington
Arlington is a major city in the Dallas–Fort Worth metropolitan area known for its sports stadiums, entertainment venues, and rapidly growing population.
- 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_69c687e7b8688190811ffee72e096468 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aeee738081908913f4f8c6699bd9 |
completed | March 27, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eee20e1081908415cb505652b03f |
completed | March 27, 2026, 8:56 p.m. |
Created at: March 27, 2026, 1:56 p.m.