Triple
T511705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Russell, 1st Earl Russell |
E10622
|
entity |
| Predicate | secondTermAsPrimeMinisterEnd |
P371
|
FINISHED |
| Object | 1866 |
—
|
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: 1866 | Statement: [John Russell, 1st Earl Russell, secondTermAsPrimeMinisterEnd, 1866]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondTermAsPrimeMinisterEnd Context triple: [John Russell, 1st Earl Russell, secondTermAsPrimeMinisterEnd, 1866]
-
A.
primeMinisterTermEnd
chosen
Indicates the date or point in time when a person's tenure as prime minister comes to an end.
-
B.
succeededByPrimeMinister
Indicates that one prime minister directly follows another in office as their immediate successor.
-
C.
primeMinisterTermStart
Indicates the date on which an individual officially begins serving as prime minister.
-
D.
lastPrimeMinister
Indicates that the subject is the most recent individual to have held the office of prime minister of the object entity.
-
E.
firstMinister
Indicates that one entity serves as the first minister (head of government or chief minister) of another entity, such as a country, region, or jurisdiction.
- 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_69a2e84a0d08819087e01863fcd9abf1 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f16768c081909d05537ff070868b |
completed | Feb. 28, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69a2edff001c81909182a7e26c6dc51b |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.