Triple
T91235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Pitt the Elder |
E1832
|
entity |
| Predicate | termEndAsPrimeMinister |
P371
|
FINISHED |
| Object | 1768-10-14 |
—
|
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: 1768-10-14 | Statement: [William Pitt the Elder, termEndAsPrimeMinister, 1768-10-14]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termEndAsPrimeMinister Context triple: [William Pitt the Elder, termEndAsPrimeMinister, 1768-10-14]
-
A.
primeMinisterTermEnd
chosen
Indicates the date or point in time when a person's tenure as prime minister comes to an end.
-
B.
primeMinisterTermStart
Indicates the date on which an individual officially begins serving as prime minister.
-
C.
vicePresidentialTermEnd
Indicates the date or point in time when an individual's service in a specific vice presidential term comes to an end.
-
D.
lastChancellor
Indicates that one entity served as the most recent chancellor of another entity (such as a country, institution, or organization).
-
E.
producedMostPrimeMinistersOf
Indicates that the subject entity has produced a greater number of prime ministers than any other comparable entity within a specified context.
- 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_69a24d1a97dc819094e6c021fe9b05a7 |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a2512ef600819084d3c627f0d534f4 |
completed | Feb. 28, 2026, 2:21 a.m. |
| PD | Predicate disambiguation | batch_69a24eb9a5ac8190b1d1300e8c4e3606 |
completed | Feb. 28, 2026, 2:11 a.m. |
Created at: Feb. 28, 2026, 2:07 a.m.