Triple
T1688941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STS-114 |
E36506
|
entity |
| Predicate | missionSpecialist |
P21471
|
FINISHED |
| Object | Charles Camarda |
E263344
|
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: Charles Camarda | Statement: [STS-114, missionSpecialist, Charles Camarda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles Camarda Context triple: [STS-114, missionSpecialist, Charles Camarda]
-
A.
Charles Camarda
chosen
Charles Camarda is a NASA astronaut and aerospace engineer best known for flying on the Space Shuttle Discovery’s STS-114 “Return to Flight” mission following the Columbia disaster.
-
B.
Greg Corrado
Greg Corrado is an American computer scientist and researcher known for his pioneering work in artificial intelligence and deep learning, including co-founding Google Brain.
-
C.
Dominick Pangallo
Dominick Pangallo is an American politician serving as the mayor of Salem, Massachusetts.
-
D.
James Marini
James Marini is an American educator and school administrator who has served as superintendent of the Newton Public Schools in Massachusetts.
-
E.
Robert DiNozzi
Robert DiNozzi is a film producer best known for his work on the thriller movie "Flightplan."
- 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa6296655c8190835ec0d20f7460ca |
completed | March 6, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebef5ac7c81908015969c04fcc425 |
completed | March 9, 2026, 12:37 p.m. |
Created at: March 4, 2026, 7:29 p.m.