Triple
T4850637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ignacy Hryniewiecki |
E108404
|
entity |
| Predicate | deathDuringEvent |
P59930
|
FINISHED |
| Object | assassination of Alexander II of Russia |
—
|
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: assassination of Alexander II of Russia | Statement: [Ignacy Hryniewiecki, deathDuringEvent, assassination of Alexander II of Russia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deathDuringEvent Context triple: [Ignacy Hryniewiecki, deathDuringEvent, assassination of Alexander II of Russia]
-
A.
deathOutcome
Indicates that an event, condition, or action results in the death of the affected entity.
-
B.
deathApprox
Indicates that an entity’s death occurred at an approximate, rather than exact, time or date.
-
C.
deathBy
Indicates a relationship where one entity’s death is caused by another entity, event, or factor.
-
D.
deathDateEvent
Indicates the date on which a death occurred or a death-related event took place.
-
E.
deathBefore
Indicates that one entity’s death occurred earlier in time than another entity’s death.
- 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_69bd440a89548190a5f14ba6da6b97dc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2557388190a2d15571bacd24f3 |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6dda5e808190a26ec85e4499d8e4 |
completed | March 20, 2026, 3:55 p.m. |
Created at: March 20, 2026, 1:25 p.m.