Triple
T13104967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | María de las Mercedes, Princess of Asturias |
E310819
|
entity |
| Predicate | dynasticFamily |
P20125
|
FINISHED |
| Object | Bourbon-Anjou branch |
E153702
|
NE FINISHED |
How this triple was built (3 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: Bourbon-Anjou branch | Statement: [María de las Mercedes, Princess of Asturias, dynasticFamily, Bourbon-Anjou branch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bourbon-Anjou branch Context triple: [María de las Mercedes, Princess of Asturias, dynasticFamily, Bourbon-Anjou branch]
-
A.
Bourbon-Anjou branch
chosen
The Bourbon-Anjou branch is a cadet line of the French royal House of Bourbon, historically linked to claims on the thrones of France and Spain.
-
B.
Rohan-Soubise branch
The Rohan-Soubise branch was a cadet line of the powerful French noble House of Rohan, centered on the Soubise title and estates.
-
C.
Bourbon-Orléans branch
The Bourbon-Orléans branch is a cadet line of the French royal House of Bourbon, historically influential in French politics and closely associated with the title Duke of Orléans.
-
D.
Bourbon-l’Archambault
Bourbon-l’Archambault is a historic spa town in central France known as the ancestral seat of the Bourbon dynasty.
-
E.
Calais Branch
The Calais Branch is a former Maine Central Railroad line in eastern Maine that historically provided freight and passenger service to communities along the state's Downeast coast.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dynasticFamily Context triple: [María de las Mercedes, Princess of Asturias, dynasticFamily, Bourbon-Anjou branch]
-
A.
dynasticSurname
Indicates that the two entities share a family name associated with a particular dynasty or ruling lineage.
-
B.
dynasticLegacy
Indicates that a lineage, tradition, or influence is passed down through successive generations within a dynasty or family line.
-
C.
dynasticHouseInvolved
Indicates that a particular dynastic house (royal or noble lineage) is involved in, associated with, or plays a role in the referenced event, entity, or relationship.
-
D.
dynasticOrigin
chosen
Indicates the historical dynasty or ruling family from which an entity originates or descends.
-
E.
dynasticInheritance
Indicates that rights, titles, or property are passed down through a family line according to established rules of succession.
- F. None of above.
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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98154c9f48190aeca779d97151759 |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e277b89c8190a0d895eb46836525 |
completed | May 3, 2026, 5:51 a.m. |
| PD | Predicate disambiguation | batch_69d98041a3548190a05ddd83dbb660fa |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:05 p.m.