Triple
T20974391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STS-79 |
E516585
|
entity |
| Predicate | missionSpecialist |
P21471
|
FINISHED |
| Object | Carl E. Walz |
—
|
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: Carl E. Walz | Statement: [STS-79, missionSpecialist, Carl E. Walz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carl E. Walz Context triple: [STS-79, missionSpecialist, Carl E. Walz]
-
A.
Carl E. Walz
chosen
Carl E. Walz is a former NASA astronaut and U.S. Air Force officer known for his multiple Space Shuttle flights and long-duration stay aboard the International Space Station.
-
B.
Tim Walz
Tim Walz is an American politician and former U.S. Representative who serves as the Democratic governor of Minnesota.
-
C.
Michael R. Miller
Michael R. Miller is a film editor known for his work on the 1999 supernatural horror film "Stigmata."
-
D.
Michael R. Miller
Michael R. Miller is a film editor known for his work on major feature films, including the 2006 installment of the Rocky franchise.
-
E.
Brian Whitmer
Brian Whitmer is a technology entrepreneur best known as a co-founder of Instructure, the company behind the Canvas learning management system.
- 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_69e0b4fee5ac8190875fa9ceba1a5e5e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fba307d88190b728544d1b6d0bb6 |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 1:46 p.m.