Triple
T1486349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Françoise Marie de Bourbon |
E29472
|
entity |
| Predicate | spouseLaterTitle |
P17687
|
FINISHED |
| Object | Regent of France |
—
|
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: Regent of France | Statement: [Françoise Marie de Bourbon, spouseLaterTitle, Regent of France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseLaterTitle Context triple: [Françoise Marie de Bourbon, spouseLaterTitle, Regent of France]
-
A.
hasSpouseTitle
chosen
Indicates that a person’s spouse holds a particular title or honorific designation.
-
B.
spouseOfHonouree
Indicates that one person is the spouse (married partner) of the honouree.
-
C.
spouseFrom
Indicates that one person is the spouse of another person originating from a specified place or source.
-
D.
spouseOccupation
Indicates that one person’s spouse has a particular job, profession, or occupation.
-
E.
spouse
Indicates that two entities are married to each other in a legally or socially recognized partnership.
- 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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6a1d8448190b3c90bb82fd806fe |
completed | March 1, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69a4c486eacc81909c272f9bdf50a7c3 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:12 p.m.