Triple
T30574169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Сатин |
E778197
|
entity |
| Predicate | тематикаМонологов |
P73134
|
FINISHED |
| Object | правда |
—
|
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: правда | Statement: [Сатин, тематикаМонологов, правда]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: тематикаМонологов Context triple: [Сатин, тематикаМонологов, правда]
-
A.
featuresMonologues
Indicates that something (such as a work, performance, or medium) contains or includes one or more monologues as a notable element.
-
B.
monologueTitle
Indicates the title assigned to a particular monologue.
-
C.
monologueStyle
Indicates that an entity delivers or is presented in a monologue format, characterized by a single voice speaking at length without direct interaction from others.
-
D.
dramaticTheme
chosen
Indicates that a work, scene, or narrative centers around a particular dramatic subject, motif, or emotional conflict as its main thematic focus.
-
E.
spokeWords
Indicates that one entity verbally expressed specific words to another entity or audience.
- 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_69f2249f8c148190ae7eb3912cde112a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f689167878819093cb4f58efd47e2e |
completed | May 2, 2026, 11:30 p.m. |
| PD | Predicate disambiguation | batch_69f67e42d6688190b60e91d2c388c555 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:22 p.m.