Triple
T36763113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis Charles, Dauphin of France |
E908261
|
entity |
| Predicate | regardedAsMonarchBy |
P186273
|
FINISHED |
| Object | French royalists |
—
|
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: French royalists | Statement: [Louis Charles, Dauphin of France, regardedAsMonarchBy, French royalists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regardedAsMonarchBy Context triple: [Louis Charles, Dauphin of France, regardedAsMonarchBy, French royalists]
-
A.
monarchSubjectOf
Indicates that a monarch is the central topic or focus of a given statement, document, or informational resource.
-
B.
usedForMonarchOf
Indicates that something serves as a means, tool, or context specifically for exercising the role or authority of a monarch.
-
C.
monarchSheIsHeirTo
Indicates that the subject is the designated heir to the specified monarch’s throne or title.
-
D.
electedMonarchOf
Indicates that one entity has been chosen through an election process to serve as the monarch (sovereign ruler) of another entity, typically a state or polity.
-
E.
monarchicTitleHolderOf
Indicates that one entity holds a monarchic title associated with another entity (such as a realm, position, or office).
- F. None of above. chosen
Provenance (4 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_69f76e786ba481909cdcf6cf6b39dd32 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7cabacc1481909e839454ce1057f7 |
completed | May 3, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f7c8999a348190abc1895eaa6e036d |
completed | May 3, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69f7c9f4c7c48190ba918d8d5dc8dfd9 |
completed | May 3, 2026, 10:19 p.m. |
Created at: May 3, 2026, 4:12 p.m.