Triple
T17926341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palliser |
E448202
|
entity |
| Predicate | appearsInWork |
P795
|
FINISHED |
| Object | The Prime Minister |
—
|
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: The Prime Minister | Statement: [Palliser, appearsInWork, The Prime Minister]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Prime Minister Context triple: [Palliser, appearsInWork, The Prime Minister]
-
A.
The Prime Minister
chosen
"The Prime Minister" is a political novel by Anthony Trollope that explores power, ambition, and social pressures within the world of British parliamentary politics.
-
B.
Prime Minister
The Prime Minister is the head of government in a parliamentary system, responsible for leading the executive branch and setting national policy.
-
C.
Mr Prime Minister
"Mr Prime Minister" is the formal style of address used for the head of government of Estonia.
-
D.
Mr Prime Minister
Mr Prime Minister is the formal style of address used for the head of government of the Slovak Republic.
-
E.
Mr Prime Minister
"Mr Prime Minister" is the formal style of address used for the head of government of Kosovo.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a54e03588190b36a9bb88e4085de |
completed | April 19, 2026, 9:50 a.m. |
Created at: April 10, 2026, 10:20 a.m.