Triple
T19248764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Prime Minister |
E481330
|
entity |
| Predicate | distinguishedFrom |
P1612
|
FINISHED |
| Object | Mr. President |
—
|
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: Mr. President | Statement: [Mr. Prime Minister, distinguishedFrom, Mr. President]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. President Context triple: [Mr. Prime Minister, distinguishedFrom, Mr. President]
-
A.
Mr. President
"Mr. President" is the formal spoken address traditionally used for the sitting President of the United States.
-
B.
Mr. President
Mr. President is the formal style of address used for the head of state of Bulgaria.
-
C.
Mr. President
"Mr. President" is the formal style of address used for the head of state of Austria.
-
D.
Mr. President
"Mr. President" is the formal style of address used for the presiding officer of the Chamber of Deputies.
-
E.
Mr. President
Mr. President is the formal style of address used for the head of state of Algeria.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb2f43e48190abab5257bec8e6aa |
completed | April 20, 2026, 10:08 a.m. |
Created at: April 10, 2026, 1:27 p.m.