Triple
T16569838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duc de Magenta |
E402555
|
entity |
| Predicate | titleHolderPoliticalOffice |
P98936
|
FINISHED |
| Object | President of the French Third Republic |
—
|
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 the French Third Republic | Statement: [Duc de Magenta, titleHolderPoliticalOffice, President of the French Third Republic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleHolderPoliticalOffice Context triple: [Duc de Magenta, titleHolderPoliticalOffice, President of the French Third Republic]
-
A.
topPoliticalOffice
Indicates that the subject holds or is associated with the highest-ranking political office within a given governmental or political system.
-
B.
officeHolderTitle
Indicates the official position or title held by a person in an office or role.
-
C.
officeHolderOf
Indicates that a person holds or has held an official position or role within a specified organization, institution, or office.
-
D.
officeHolderIs
Indicates that one entity serves as the office holder (e.g., official or position occupant) of another entity, such as an office, role, or institution.
-
E.
stateOfPoliticalOffice
chosen
Indicates the political office or governmental position currently held or associated with an 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e359580f548190a21afd148bc22d8d |
completed | April 18, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69e296a47b7481909d9958158510c806 |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:16 a.m.