Triple
T17547218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STS-129 |
E427359
|
entity |
| Predicate | missionSpecialist |
P21471
|
FINISHED |
| Object | Michael J. Foreman |
—
|
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: Michael J. Foreman | Statement: [STS-129, missionSpecialist, Michael J. Foreman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael J. Foreman Context triple: [STS-129, missionSpecialist, Michael J. Foreman]
-
A.
Michael J. Foreman
chosen
Michael J. Foreman is a retired NASA astronaut and former U.S. Navy captain who flew on multiple Space Shuttle missions to the International Space Station.
-
B.
Garth Williams
Garth Williams was an American illustrator best known for his classic, expressive artwork in beloved children's books such as "Charlotte's Web" and "Little House on the Prairie."
-
C.
Jim Shea
Jim Shea is an American skeleton racer best known for winning the gold medal at the 2002 Winter Olympics in Salt Lake City.
-
D.
Victor Melling
Victor Melling is a refined, exacting beauty pageant coach and mentor featured in the comedy film "Miss Congeniality."
-
E.
Loren Long
Loren Long is an American children's book illustrator and author known for his richly detailed, nostalgic artwork in popular picture books and collaborations with prominent writers.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e454626cfc8190a2602ba4934b8e6d |
completed | April 19, 2026, 4:04 a.m. |
Created at: April 10, 2026, 5:49 a.m.