Triple
T18151336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naoko Yamazaki |
E434508
|
entity |
| Predicate | spaceflightExperience |
P78978
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Naoko Yamazaki, spaceflightExperience, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spaceflightExperience Context triple: [Naoko Yamazaki, spaceflightExperience, yes]
-
A.
hasFlownInSpace
chosen
Indicates that the subject has traveled beyond Earth's atmosphere into outer space.
-
B.
spaceMissionsFlown
Indicates the number or specific instances of space missions that an entity has participated in or carried out.
-
C.
spaceflightType
Indicates the specific category or mode of spaceflight associated with an entity, such as orbital, suborbital, interplanetary, or other mission types.
-
D.
spaceflight
Indicates the undertaking of travel or transportation beyond Earth’s atmosphere, typically via spacecraft operating in outer space.
-
E.
spaceflightProfile
Indicates the specific pattern, parameters, and characteristics of how a spaceflight is conducted over the course of its mission.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de38d4e08190bc4d430b70b7e288 |
completed | April 19, 2026, 1:52 p.m. |
| PD | Predicate disambiguation | batch_69e43317d11c81908d1dc14921566b47 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:29 a.m.