Triple
T33225944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A People’s Tragedy: The Russian Revolution 1891–1924 |
E850551
|
entity |
| Predicate | setsBeginning |
P176226
|
FINISHED |
| Object | Russian famine of 1891–1892 |
—
|
NE NERFINISHED |
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: Russian famine of 1891–1892 | Statement: [A People’s Tragedy: The Russian Revolution 1891–1924, setsBeginning, Russian famine of 1891–1892]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setsBeginning Context triple: [A People’s Tragedy: The Russian Revolution 1891–1924, setsBeginning, Russian famine of 1891–1892]
-
A.
setsForth
Indicates that an entity formally presents, explains, or lays out something such as a plan, argument, rule, or proposal.
-
B.
setsOut
Indicates that an entity begins a journey, course of action, or process, moving from an initial state or location toward a goal or destination.
-
C.
useBegan
Indicates that an entity initiated or started using another entity or resource at a particular point in time.
-
D.
setsOn
Indicates that one entity places or arranges another entity onto a specified surface, container, or context.
-
E.
setsInMotion
Indicates initiating movement or causing an entity to begin moving or proceeding from a state of rest.
- 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_69f3496083dc8190b229bb6932dc548b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
| PDg | Predicate description generation | batch_69f6dd3b335481909e24d4eb5b0269f9 |
completed | May 3, 2026, 5:29 a.m. |
Created at: May 1, 2026, 1:30 a.m.