Triple
T5442413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunita Williams |
E122165
|
entity |
| Predicate | totalSpacewalkTime |
P51373
|
FINISHED |
| Object | over 50 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 50 hours | Statement: [Sunita Williams, totalSpacewalkTime, over 50 hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalSpacewalkTime Context triple: [Sunita Williams, totalSpacewalkTime, over 50 hours]
-
A.
spacewalksCount
Indicates the number of spacewalk activities an entity has performed or participated in.
-
B.
timeInSpace
Indicates the amount of time an entity has spent in outer space.
-
C.
crewEVAHours
chosen
Indicates the total number of hours that crew members spend performing extravehicular activities (spacewalks) outside their vehicle or habitat.
-
D.
spacewalks
Indicates that an astronaut performs activities outside a spacecraft in open space, typically while wearing a spacesuit and tethered or otherwise supported.
-
E.
timeOnLunarSurface
Indicates the duration that an entity spends on the surface of the Moon.
- 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_69bd46400768819092925d461c0b8432 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd922f66bc8190b7d47fd68d2fcf2e |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd919aeb048190b786f814177d6cd9 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:07 p.m.