Triple
T8683827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. President |
E206102
|
entity |
| Predicate | distinguishedFrom |
P1612
|
FINISHED |
| Object | Mr. Prime Minister |
unclear NED1
|
NE 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: Mr. Prime Minister | Statement: [Mr. President, distinguishedFrom, Mr. Prime Minister]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Prime Minister Context triple: [Mr. President, distinguishedFrom, Mr. Prime Minister]
-
A.
Mr. Prime Minister
Mr. Prime Minister is the formal style of address used for the head of government of the Republic of Croatia.
-
B.
Mr. Prime Minister
Mr. Prime Minister is the formal style of address used for the head of government of Ukraine.
-
C.
Mr. Prime Minister
Mr. Prime Minister is the formal style of address traditionally used for the head of government of the Russian Federation.
-
D.
Mr. Prime Minister
Mr. Prime Minister is the formal style of address used for the head of government of Azerbaijan.
-
E.
Mr Prime Minister
"Mr Prime Minister" is the formal style of address used for the head of government of Estonia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69ca835379688190aa06b9d98e684d58 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4ae9da3c8190866e24970a7aeba3 |
completed | March 31, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef3c3c74c81908cd9e881d5963492 |
completed | April 2, 2026, 10:54 p.m. |
Created at: March 30, 2026, 6:32 p.m.