Triple
T36230299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apostle of Democracy |
E891221
|
entity |
| Predicate | honorificForOfficeHolder |
P54566
|
FINISHED |
| Object | President of Mexico |
—
|
LITERAL 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: President of Mexico | Statement: [Apostle of Democracy, honorificForOfficeHolder, President of Mexico]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honorificForOfficeHolder Context triple: [Apostle of Democracy, honorificForOfficeHolder, President of Mexico]
-
A.
isHonorificOffice
Indicates that a given office or position is honorary in nature, typically carrying prestige or ceremonial status rather than substantive powers or duties.
-
B.
honorificNameOf
chosen
Indicates that one entity is the honorific or respectful name or title used to refer to another entity.
-
C.
honorificTitle
Indicates that one entity serves as a formal honorific or respectful title used to address or refer to another entity.
-
D.
honorificPrefix
Indicates the formal title or respectful prefix (e.g., "Dr.", "Mr.", "Prof.") used before a person's name to denote status, role, or honor.
-
E.
honorificFunction
Indicates that one entity serves as an honorific title, role, or form of address used in reference to another entity.
- F. None of above.
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_69f76e4387048190a1b27bcbf4ec7423 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b5a2e2288190b32988c69c68a13d |
completed | May 3, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c44390819084fb5558b354658f |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:09 p.m.