Triple
T12747605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. President |
E304645
|
entity |
| Predicate | hasCounterpart |
P6587
|
FINISHED |
| Object | Madam President |
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: Madam President | Statement: [Mr. President, hasCounterpart, Madam President]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madam President Context triple: [Mr. President, hasCounterpart, Madam President]
-
A.
Madam President
Madam President is the formal style of address used for a female head of state serving as President of Romania.
-
B.
Madam President
"Madam President" is the formal style of address used for a woman serving as President of the Swiss Confederation.
-
C.
Madam President
"Madam President" is the formal honorific used to address a woman serving as the presiding officer of the Florida Senate.
-
D.
Madam President
Madam President is the formal style of address used for a woman serving as the presiding officer of a legislative council or similar parliamentary body.
-
E.
Madam President
"Madam President" is the formal style of address used for a female President of the United States.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96bd58d30819082af4edb4cd0b4ab |
completed | April 10, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c964c508190b4d6a094b388280b |
completed | May 2, 2026, 10:37 p.m. |
Created at: April 9, 2026, 5:27 p.m.