Triple
T6886248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret of Savoy |
E158925
|
entity |
| Predicate | nobleTitleAcquiredThrough |
P73948
|
FINISHED |
| Object | marriage to Louis III, Duke of Anjou |
—
|
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: marriage to Louis III, Duke of Anjou | Statement: [Margaret of Savoy, nobleTitleAcquiredThrough, marriage to Louis III, Duke of Anjou]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nobleTitleAcquiredThrough Context triple: [Margaret of Savoy, nobleTitleAcquiredThrough, marriage to Louis III, Duke of Anjou]
-
A.
associatedNobleTitle
Indicates that an entity is linked to or bears a particular noble or aristocratic title.
-
B.
nobleTitleFrom
Indicates that a person derives or holds their noble title from a specified source, such as a place, lineage, or authority.
-
C.
nobleRankGrantedBy
Indicates that a particular noble rank or title was formally conferred upon someone by a specific granting authority or person.
-
D.
hasNobleStatus
Indicates that an entity possesses a recognized noble rank, title, or aristocratic status.
-
E.
aristocraticTitleIn
Indicates that an entity holds or is associated with a specific aristocratic or noble title within a particular jurisdiction or context.
- 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_69c688342f6c8190ad7eea6ba262db99 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d90bc32c8190baf5bf785146f3e8 |
completed | March 27, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b53e9881909ec298daa9f1913b |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d8c48ba48190b8d3aa7b8d22816b |
completed | March 27, 2026, 7:21 p.m. |
Created at: March 27, 2026, 2:23 p.m.