Triple
T20839649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STS-74 |
E513057
|
entity |
| Predicate | commander |
P1061
|
FINISHED |
| Object | Kenneth D. Cameron |
—
|
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: Kenneth D. Cameron | Statement: [STS-74, commander, Kenneth D. Cameron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenneth D. Cameron Context triple: [STS-74, commander, Kenneth D. Cameron]
-
A.
Kenneth D. Cameron
chosen
Kenneth D. Cameron is a former NASA astronaut and U.S. Marine Corps officer who flew on multiple Space Shuttle missions in the 1990s.
-
B.
Peter K. Kilpatrick
Peter K. Kilpatrick is an American chemical engineer and academic leader who serves as the president of The Catholic University of America.
-
C.
James M. Carlsmith
James M. Carlsmith was a social psychologist best known for his influential experimental work on cognitive dissonance conducted with Leon Festinger.
-
D.
Peter A. Dowling
Peter A. Dowling is a screenwriter best known for his work on high-concept Hollywood thrillers, including the Jodie Foster–led film "Flightplan."
-
E.
Douglas S. Cramer
Douglas S. Cramer was an American television and film producer best known for his work on popular series such as "Dynasty," "The Love Boat," and "Wonder Woman."
- 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_69e0b4cf62a88190bbf92351e9e57259 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c34a60848190b33078172675f8d7 |
completed | April 21, 2026, 12:22 a.m. |
Created at: April 16, 2026, 12:42 p.m.