Triple
T2254376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Señor Presidente |
E49686
|
entity |
| Predicate | relatedHonorific |
P28844
|
FINISHED |
| Object | Señora Presidenta |
E1667
|
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: Señora Presidenta | Statement: [Señor Presidente, relatedHonorific, Señora Presidenta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Señora Presidenta Context triple: [Señor Presidente, relatedHonorific, Señora Presidenta]
-
A.
Señor Presidente
Señor Presidente is the formal Spanish honorific used to address the sitting President of Mexico.
-
B.
Madam President
Madam President is the formal style of address used for a female head of state serving as President of Romania.
-
C.
Madam President
chosen
"Madam President" is the formal style of address used for a female President of the United States.
-
D.
Mr. President
"Mr. President" is the formal spoken address traditionally used for the sitting President of the United States.
-
E.
Mr. President
"Mr. President" is the formal style of address used for the head of state of Romania.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a88aaa9250819095e127d0d77e8a32 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc5b262488190b6455d1d28d2306d |
completed | March 7, 2026, 6:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71c487908190903e06bcb2393484 |
completed | March 9, 2026, 7:07 a.m. |
Created at: March 4, 2026, 7:47 p.m.