Triple
T4012864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sputnik 2 |
E90685
|
entity |
| Predicate | first |
P53923
|
FINISHED |
| Object | first spacecraft to carry a living creature into orbit |
—
|
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: first spacecraft to carry a living creature into orbit | Statement: [Sputnik 2, first, first spacecraft to carry a living creature into orbit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: first Context triple: [Sputnik 2, first, first spacecraft to carry a living creature into orbit]
-
A.
firstWord
Indicates that one entity is the first word in the sequence or text associated with another entity.
-
B.
firstSeries
Indicates that one entity is the initial or earliest series in an ordered sequence of related series.
-
C.
firstWork
Indicates that the related work is the earliest or initial work created, published, or produced by the entity in question.
-
D.
firstRelease
Indicates that one entity is the initial or earliest release (in time or sequence) of another entity, such as a product, work, or version.
-
E.
primaryFront
Indicates that one entity serves as the main or most important front-facing side or surface in relation to another entity.
- 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_69aed95e44088190aff7d90a151b1b20 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaec08dc8190a341809059554f84 |
completed | March 9, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69aef8fa6fec81909b1190ecbba61410 |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aefaea76c48190add2e7cee180e8b1 |
completed | March 9, 2026, 4:52 p.m. |
Created at: March 9, 2026, 3:35 p.m.