Triple
T27079131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert L. Behnken |
E685544
|
entity |
| Predicate | totalEVAHours |
P51373
|
FINISHED |
| Object | over 60 hours |
—
|
LITERAL 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: over 60 hours | Statement: [Robert L. Behnken, totalEVAHours, over 60 hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalEVAHours Context triple: [Robert L. Behnken, totalEVAHours, over 60 hours]
-
A.
crewEVAHours
chosen
Indicates the total number of hours that crew members spend performing extravehicular activities (spacewalks) outside their vehicle or habitat.
-
B.
evaDuration
Indicates the length of time that an extravehicular activity (EVA) lasts or is scheduled to last.
-
C.
performedEVA
Indicates that an entity has carried out an extravehicular activity (EVA), such as a spacewalk, outside a spacecraft or space station.
-
D.
endTimeDetail
Indicates the specific or refined information about when an event, action, or state concludes.
-
E.
EVAstartDate
Indicates the date on which an extravehicular activity (EVA) begins.
- F. None of above.
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_69ef14843b1481909d828b3d5a44550a |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f65aa07c048190a5df30d53d8f0cf5 |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 27, 2026, 8:33 a.m.