Triple
T27991648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mémoires de Marie Mancini |
E706894
|
entity |
| Predicate | historicalFigureMentioned |
P10723
|
FINISHED |
| Object | Louis XIV |
—
|
NE NERFINISHED |
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: Louis XIV | Statement: [Mémoires de Marie Mancini, historicalFigureMentioned, Louis XIV]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalFigureMentioned Context triple: [Mémoires de Marie Mancini, historicalFigureMentioned, Louis XIV]
-
A.
historicalFigureDiscussed
chosen
Indicates that a historical figure is the topic of discussion, analysis, or commentary in some context.
-
B.
historicalFigureAssociated
Indicates that there is a notable connection or linkage between an entity and a historical figure, such as influence, collaboration, representation, or involvement in the figure’s life or legacy.
-
C.
addressesHistoricalFigure
Indicates that one entity directly speaks or writes to a person recognized as a historical figure.
-
D.
historicalFigure
Indicates that an entity is recognized as a notable person from the past who played a significant role in history.
-
E.
sameHistoricalFigureAs
Indicates that two entities refer to the same historical person, treating them as different representations or records of one individual.
- 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_69ef96b8b8d88190bad5e4ae966bf14e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69fdb31800508190beec15adb9bbd292 |
completed | May 8, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69fdb19c381c8190bafb2f565da097f1 |
completed | May 8, 2026, 9:49 a.m. |
Created at: April 27, 2026, 7:50 p.m.