Triple
T6133418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Earl of Derby (first term as Prime Minister) |
E136772
|
entity |
| Predicate | numberOfPrimeMinisterialTermForDerby |
P29051
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [The Earl of Derby (first term as Prime Minister), numberOfPrimeMinisterialTermForDerby, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPrimeMinisterialTermForDerby Context triple: [The Earl of Derby (first term as Prime Minister), numberOfPrimeMinisterialTermForDerby, 1]
-
A.
numberOfTermsAsPrimeMinister
chosen
Indicates how many separate terms an individual has served in the role of prime minister.
-
B.
primeMinisterTerm
Indicates the period of time during which a person holds the office and exercises the role of prime minister of a government.
-
C.
servedUnderPrimeMinister
Indicates that one person held a governmental or official position subordinate to, and during the tenure of, a particular prime minister.
-
D.
primeMinisterTermStart
Indicates the date on which an individual officially begins serving as prime minister.
-
E.
primeMinisterTermEnd
Indicates the date or point in time when a person's tenure as prime minister comes to an end.
- 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_69c008a0a37c81908e5b4f879158afb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c509848819089a2b2b58744bc25 |
completed | March 22, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69c055f19b0c81908be34a00ab218723 |
completed | March 22, 2026, 8:49 p.m. |
Created at: March 22, 2026, 4:15 p.m.