Triple
T8167135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vice President of Argentina |
E190719
|
entity |
| Predicate | style |
P87
|
FINISHED |
| Object | Mr. Vice President |
E14295
|
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. Vice President | Statement: [Vice President of Argentina, style, Mr. Vice President]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Vice President Context triple: [Vice President of Argentina, style, Mr. Vice President]
-
A.
Mr. Vice President
chosen
Mr. Vice President is the formal spoken and written title used to address the sitting Vice President of the United States.
-
B.
Señor Vicepresidente
Señor Vicepresidente is the formal Spanish honorific used to address the Second Vice President of Peru.
-
C.
Mr. President
"Mr. President" is the formal style of address used for the presiding officer of the Chamber of Deputies.
-
D.
Mr. President
Mr. President is the formal style of address used for the head of state of Algeria.
-
E.
Mr. President
"Mr. President" is the formal spoken address traditionally used for the sitting President of the United States.
- 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_69ca82c0ef14819083713f4473dd847c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb46698fb88190a6d520b05cb9b03e |
completed | March 31, 2026, 3:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf4b68288190be7490119d46b242 |
completed | April 1, 2026, 6:46 a.m. |
Created at: March 30, 2026, 5:39 p.m.