Triple
T7523833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crew-1 |
E177841
|
entity |
| Predicate | commander |
P1061
|
FINISHED |
| Object | Michael S. Hopkins |
E670779
|
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: Michael S. Hopkins | Statement: [Crew-1, commander, Michael S. Hopkins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael S. Hopkins Context triple: [Crew-1, commander, Michael S. Hopkins]
-
A.
Michael S. Hopkins
chosen
Michael S. Hopkins is a NASA astronaut and U.S. Air Force colonel who has flown multiple long-duration missions to the International Space Station.
-
B.
Steve Rucker
Steve Rucker is an American composer best known for his work on animated television series, particularly contributing music to shows like Dexter's Laboratory.
-
C.
Michael Q. Hurley
Michael Q. Hurley is an individual notable enough to be recognized as a namesake of the surname Hurley, though specific widely known public details about him are limited.
-
D.
Colin Kroll
Colin Kroll was an American technology entrepreneur best known as the co-founder of the short-form video platform Vine and the mobile trivia game HQ Trivia.
-
E.
Thomas Sadoski
Thomas Sadoski is an American actor known for his roles in television series like "The Newsroom" and films such as "John Wick" and "Wild."
- 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_69c69f29bf3081909a146aec7755f185 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f7c61b508190b582f54ecbb387e3 |
completed | March 27, 2026, 9:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84efbbed48190baa687bb738a0c54 |
completed | March 28, 2026, 9:58 p.m. |
Created at: March 27, 2026, 3:46 p.m.