Triple
T38416714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peggy Whitson |
E903118
|
entity |
| Predicate | totalTimeInSpaceRecord |
P6246
|
FINISHED |
| Object | U.S. record for most cumulative time in space |
—
|
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: U.S. record for most cumulative time in space | Statement: [Peggy Whitson, totalTimeInSpaceRecord, U.S. record for most cumulative time in space]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalTimeInSpaceRecord Context triple: [Peggy Whitson, totalTimeInSpaceRecord, U.S. record for most cumulative time in space]
-
A.
timeInSpace
chosen
Indicates the amount of time an entity has spent in outer space.
-
B.
totalAstronautsFlown
Indicates the total number of astronauts who have flown on a particular mission, vehicle, or program.
-
C.
yearOfSpaceflight
Indicates the specific calendar year in which a given spaceflight took place.
-
D.
timeOnLunarSurface
Indicates the duration that an entity spends on the surface of the Moon.
-
E.
spaceMissionsFlown
Indicates the number or specific instances of space missions that an entity has participated in or carried out.
- 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_69f76e67e4fc8190a7d08dfe9a8af998 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd37b695c88190855801626f91c4cd |
completed | May 8, 2026, 1:09 a.m. |
| PD | Predicate disambiguation | batch_69fd374cccf08190a230e87164af5938 |
completed | May 8, 2026, 1:07 a.m. |
Created at: May 3, 2026, 4:31 p.m.