Triple
T29472363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Белое солнце пустыни |
E747543
|
entity |
| Predicate | первыйПоказ |
P167219
|
FINISHED |
| Object | 1970 год |
—
|
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: 1970 год | Statement: [Белое солнце пустыни, первыйПоказ, 1970 год]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: первыйПоказ Context triple: [Белое солнце пустыни, первыйПоказ, 1970 год]
-
A.
firstPage
Indicates that one entity is the first page or initial section in the ordered sequence of pages of another entity.
-
B.
first
Indicates that one entity precedes all others in an ordered sequence or ranking.
-
C.
firstEpisode
Indicates that one entity is the initial or earliest episode in the series or sequence associated with another entity.
-
D.
firstStepIn
Indicates that one event, action, or process is the initial step in a larger sequence or procedure involving another.
-
E.
firstOrdinary
Indicates that the subject is the first entity to hold or occupy an ordinary (non-special, standard) position, role, or status in a given sequence or context.
- 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_69f0bd42cf308190bb01b20bc5b7c2d0 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66bd2451c8190ad14604068f308d8 |
completed | May 2, 2026, 9:25 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
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 28, 2026, 3:58 p.m.