Triple
T1663155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikolai Yezhov |
E35952
|
entity |
| Predicate | officeEndForNKVDChief |
P30510
|
FINISHED |
| Object | 1938-11-25 |
—
|
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: 1938-11-25 | Statement: [Nikolai Yezhov, officeEndForNKVDChief, 1938-11-25]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeEndForNKVDChief Context triple: [Nikolai Yezhov, officeEndForNKVDChief, 1938-11-25]
-
A.
officeEnded
Indicates that a person’s term in an office or position has concluded at a specified time or under certain conditions.
-
B.
officeEndForMinisterOfCulture
Indicates the date or event marking when a person’s term as Minister of Culture comes to an end.
-
C.
officeEndForChiefJustice
Indicates the date or event marking when a Chief Justice’s term in office comes to an end.
-
D.
officeEndForMinisterOfEducation
Indicates the point in time or event at which a person's term as Minister of Education comes to an end.
-
E.
leftOffice
Indicates that an entity ceased holding or performing the duties of a particular office or position.
- 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_69a88606aa808190aa0b421b4271f220 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa994f92b0819084ee2f6a672334b9 |
completed | March 6, 2026, 9:07 a.m. |
| PD | Predicate disambiguation | batch_69a907d2475c8190b7ec7dccd3335eb1 |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a94192abc0819092fc00fef9d53bcb |
completed | March 5, 2026, 8:40 a.m. |
Created at: March 4, 2026, 7:29 p.m.