Triple
T3305912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Strasburg |
E69448
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Strasburg |
E46958
|
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: Strasburg | Statement: [Stephen Strasburg, familyName, Strasburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strasburg Context triple: [Stephen Strasburg, familyName, Strasburg]
-
A.
Strasburg
Strasburg is the former name of the city now known as Lee's Summit in Missouri, a suburban community in the Kansas City metropolitan area.
-
B.
Strasburg
chosen
Strasburg is a surname most prominently associated with Stephen Strasburg, an American former Major League Baseball pitcher known for his time with the Washington Nationals.
-
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.
Bethesda, Maryland
Bethesda, Maryland is a suburban community just northwest of Washington, D.C., known for its major medical and research institutions, affluent residential areas, and vibrant downtown.
-
E.
Georgetown
Georgetown is a historic Gold Rush–era community in Northern California known for its preserved 19th-century character and role in the state's mining history.
- 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_69ad859f218081909458d2cebbf57565 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0c9470881908c36c1984fdbb67b |
completed | March 8, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3e6e55881909417d54e0d8f0a26 |
completed | March 12, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:11 p.m.