Triple
T9545842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louise Adélaïde d'Orléans |
E230281
|
entity |
| Predicate | typeOfPrincess |
P60013
|
FINISHED |
| Object | princess of the House of Orléans |
—
|
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: princess of the House of Orléans | Statement: [Louise Adélaïde d'Orléans, typeOfPrincess, princess of the House of Orléans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfPrincess Context triple: [Louise Adélaïde d'Orléans, typeOfPrincess, princess of the House of Orléans]
-
A.
princessOf
Indicates that one entity holds the royal title or role of princess in relation to another entity, typically a realm, family, or sovereign.
-
B.
mythologicalPrincess
Indicates that the subject is a princess who exists within mythology, legend, or folklore rather than in historical reality.
-
C.
featuresPrincess
Indicates that something includes or prominently presents a princess as a central element or character.
-
D.
relationshipToPrincess
Indicates the specific familial, social, or romantic connection that one entity has to a princess.
-
E.
typeOfCharacter
chosen
Indicates that one entity is a specific kind or category of character in relation to another 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_69ca847c70b8819088a0a0bad64a50d6 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9901f2bc8190a4076f5947660df9 |
completed | April 1, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69ccd58bd21881908b860e3ee469af13 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:01 p.m.