Triple
T19891745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STS-94 |
E478046
|
entity |
| Predicate | missionSpecialist |
P21471
|
FINISHED |
| Object | Donald A. Thomas |
—
|
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: Donald A. Thomas | Statement: [STS-94, missionSpecialist, Donald A. Thomas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donald A. Thomas Context triple: [STS-94, missionSpecialist, Donald A. Thomas]
-
A.
Donald A. Thomas
chosen
Donald A. Thomas is an American astronaut and engineer who flew on multiple Space Shuttle missions, conducting scientific research in microgravity.
-
B.
John W. Thomas
John W. Thomas was a prominent local figure and early railroad or civic leader after whom the city of Thomasville, North Carolina, was named.
-
C.
Pierre J. Thuot
Pierre J. Thuot is a former NASA astronaut and U.S. Navy officer who flew on multiple Space Shuttle missions in the early 1990s.
-
D.
Bruce R. Thompson
Bruce R. Thompson was a United States federal judge whose judicial service and impact on the legal system led to a federal courthouse being named in his honor.
-
E.
James A. Thomas
James A. Thomas was a prominent American tobacco executive associated with the American Tobacco Company and Duke University.
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6590ed7988190bc6b610d1f4fa194 |
completed | April 20, 2026, 4:49 p.m. |
Created at: April 10, 2026, 1:52 p.m.