Triple
T10379748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vostok 6 |
E244605
|
entity |
| Predicate | crewRoleOf_Valentina Tereshkova |
P93679
|
FINISHED |
| Object | pilot |
—
|
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: pilot | Statement: [Vostok 6, crewRoleOf_Valentina Tereshkova, pilot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crewRoleOf_Valentina Tereshkova Context triple: [Vostok 6, crewRoleOf_Valentina Tereshkova, pilot]
-
A.
firstWomanInSpace
Indicates that the subject is the first female individual to have traveled into outer space.
-
B.
notableCosmonaut
Indicates that the subject is a cosmonaut who is distinguished or well-known for their role, achievements, or significance in spaceflight.
-
C.
cosmonautName
Indicates that the predicate specifies the personal name associated with a given cosmonaut.
-
D.
astronaut
Indicates that an entity performs the role or activity of traveling and working in space as part of space missions.
-
E.
astronautFullName
Indicates the complete personal name of an astronaut, typically including given, middle, and family names.
- F. None of above. chosen
Provenance (4 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e991056c8190a981f717c51f1f72 |
completed | April 7, 2026, 11:25 a.m. |
| PD | Predicate disambiguation | batch_69d4dface5508190a7b42f01ad0a19a2 |
completed | April 7, 2026, 10:42 a.m. |
| PDg | Predicate description generation | batch_69d4e944fac4819093b0312aa0efd729 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:03 p.m.