Triple
T2321678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Watson-Wentworth, 2nd Marquess of Rockingham |
E48194
|
entity |
| Predicate | startTimeFirstTermAsPrimeMinister |
P20266
|
FINISHED |
| Object | 1765 |
—
|
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: 1765 | Statement: [Charles Watson-Wentworth, 2nd Marquess of Rockingham, startTimeFirstTermAsPrimeMinister, 1765]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeFirstTermAsPrimeMinister Context triple: [Charles Watson-Wentworth, 2nd Marquess of Rockingham, startTimeFirstTermAsPrimeMinister, 1765]
-
A.
firstPrimeMinisterTermStart
chosen
Indicates the date on which an entity began serving its first term as prime minister.
-
B.
primeMinisterTermStart
Indicates the date on which an individual officially begins serving as prime minister.
-
C.
ageAtFirstBecomingPrimeMinister
Indicates the age a person was when they first assumed the office of prime minister.
-
D.
startTimeOfSecondTermAsPrimeMinister
Indicates the date and time when an individual’s second term serving as prime minister begins.
-
E.
primeMinisterAtEnactment
Indicates that the referenced person was serving as prime minister at the time a particular law, act, or measure was enacted.
- 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_69a88aa308a88190b0b86c011fda7fce |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc685f05481909c863b29d1f6bacd |
completed | March 7, 2026, 6:32 a.m. |
| PD | Predicate disambiguation | batch_69abc5909cc48190aab257313542dc49 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:49 p.m.