Triple
T30011235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andriyan Nikolayev |
E762464
|
entity |
| Predicate | missionFor |
P73456
|
FINISHED |
| Object | Vostok 3 |
—
|
NE NERFINISHED |
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: Vostok 3 | Statement: [Andriyan Nikolayev, missionFor, Vostok 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: missionFor Context triple: [Andriyan Nikolayev, missionFor, Vostok 3]
-
A.
missionTo
chosen
Indicates that one entity is assigned, directed, or sent to carry out a specific mission involving another entity or location.
-
B.
mission
Indicates that an entity is assigned or engaged in a specific task, operation, or purpose-directed undertaking.
-
C.
missionFirst
Indicates that one entity prioritizes accomplishing a mission or objective above other considerations or interests.
-
D.
intendedMission
Indicates that one entity is the planned or designated mission, task, or objective associated with another entity.
-
E.
missionFocus
Indicates that an entity’s primary attention, effort, or resources are directed toward a particular mission, goal, or objective.
- 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_69f2246b0c84819094f1250b6a02d277 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6a916d2e08190bafc01cba73b6469 |
completed | May 3, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69f6a7548eb48190a69b60a3c6ad53b9 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 29, 2026, 6:44 p.m.