Triple
T19105724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Дмитрий Андреевич Муратов |
E467647
|
entity |
| Predicate | пол |
P134397
|
FINISHED |
| Object | мужской |
—
|
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: мужской | Statement: [Дмитрий Андреевич Муратов, пол, мужской]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: пол Context triple: [Дмитрий Андреевич Муратов, пол, мужской]
-
A.
pole
Indicates that one entity is a long, slender, typically vertical support or rod associated with or used by another entity.
-
B.
par
Indicates that two entities are parallel to each other in space or direction.
-
C.
plea
Indicates that a defendant formally states their response (such as guilty, not guilty, or no contest) to criminal charges in a legal proceeding.
-
D.
podlegała
Indicates that one entity was subordinate to, under the authority of, or subject to the control or jurisdiction of another entity in the past.
-
E.
посада
Indicates that one entity holds a specific official position, role, or office in relation to another entity (such as an organization or institution).
- 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e37159688190a6896d9730214ba8 |
completed | April 20, 2026, 8:27 a.m. |
| PD | Predicate disambiguation | batch_69e4b9ac41848190afd0f33b42cebe99 |
completed | April 19, 2026, 11:17 a.m. |
| PDg | Predicate description generation | batch_69e4bfe8a06081909fd5c28a33e9f218 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:04 p.m.