Triple
T22894631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ronald M. Sega |
E568137
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ronald M. Sega |
—
|
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: Ronald M. Sega | Statement: [Ronald M. Sega, name, Ronald M. Sega]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ronald M. Sega Context triple: [Ronald M. Sega, name, Ronald M. Sega]
-
A.
Ronald M. Sega
chosen
Ronald M. Sega is an American physicist, former NASA astronaut, and U.S. Air Force officer who flew on multiple Space Shuttle missions and later held senior academic and defense leadership roles.
-
B.
Mario Sperry
Mario Sperry is a renowned Brazilian jiu-jitsu black belt and mixed martial artist, considered one of the pioneers and top competitors in the sport’s early modern era.
-
C.
Edward Bushnell
Edward Bushnell is a notable individual recognized for bearing the Bushnell surname.
-
D.
Owen Bushnell
Owen Bushnell is a relatively obscure individual whose primary current distinction is simply being noted as a bearer of the Bushnell surname.
-
E.
Peter Bushnell
Peter Bushnell is a notable individual recognized for achievements significant enough to be associated with the surname Bushnell.
- 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_69e2458c23ec81908fa2570692c6614f |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f17fc83d688190a8ab5ea0aad1e7ec |
completed | April 29, 2026, 3:49 a.m. |
Created at: April 17, 2026, 3:40 p.m.