Triple
T27388906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akihiko Hoshide |
E691463
|
entity |
| Predicate | hasFlownLongDurationMission |
P167122
|
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: [Akihiko Hoshide, hasFlownLongDurationMission, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFlownLongDurationMission Context triple: [Akihiko Hoshide, hasFlownLongDurationMission, yes]
-
A.
hasFlownSorties
Indicates that an entity has completed one or more operational flight missions (sorties).
-
B.
hasFlownIn
Indicates that an entity has previously traveled by flying in or on another entity (such as an aircraft or similar vehicle).
-
C.
hasFlownInSpace
Indicates that the subject has traveled beyond Earth's atmosphere into outer space.
-
D.
hasLongHaulFlights
Indicates that an entity (such as an airline, route, or airport) operates or is associated with long-distance flights typically covering intercontinental or extended-duration journeys.
-
E.
wasLongestShuttleMissionAtTheTime
Indicates that a particular shuttle mission held the record for being the longest in duration at the time it occurred.
- 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_69ef520386788190bc92cfcd97ebb67a |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f6653ccf648190b65fb1141928e47e |
completed | May 2, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69f6633451948190bcc0410602bb4914 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f663ff176c8190aaadb475f75daee4 |
completed | May 2, 2026, 8:52 p.m. |
Created at: April 27, 2026, 12:25 p.m.