Triple
T26547654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Duke George Mikhailovich of Russia |
E671582
|
entity |
| Predicate | presentDayCountryOfDeath |
P336
|
FINISHED |
| Object | Russia |
—
|
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: Russia | Statement: [Grand Duke George Mikhailovich of Russia, presentDayCountryOfDeath, Russia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presentDayCountryOfDeath Context triple: [Grand Duke George Mikhailovich of Russia, presentDayCountryOfDeath, Russia]
-
A.
countryOfDeath
chosen
Indicates the country in which an entity (typically a person) died.
-
B.
creatorCountryOfDeath
Indicates the country in which the creator died.
-
C.
nationalityAtDeath
Indicates the country or national affiliation a person held at the time of their death.
-
D.
deathTollRanking
Indicates the relative position of an event or entity when ordered by the number of deaths it caused, typically from highest to lowest.
-
E.
tookPlaceInPresentDayCountry
Indicates that an event or occurrence happened within the geographic area of the country as it is defined in the present day.
- 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_69eeb32163f08190af5f81282738e27a |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f67f0488bc819089fbd2d2478158d3 |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 27, 2026, 1:45 a.m.