Triple
T25302355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Élisabeth Philippine Marie Hélène de France |
E634380
|
entity |
| Predicate | unmarried |
P6807
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Élisabeth Philippine Marie Hélène de France, unmarried, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unmarried Context triple: [Élisabeth Philippine Marie Hélène de France, unmarried, true]
-
A.
neverMarried
chosen
Indicates that the subject has not been legally married to any partner at any time up to the present.
-
B.
unmarriedPartner
Indicates a relationship where one person is a romantic or domestic partner of another, and they are not legally married to each other.
-
C.
marriageChildless
Indicates that a marriage exists in which the spouses have no children.
-
D.
marital status
Indicates the legal or social state of a person’s marriage-related relationship, such as being single, married, divorced, or widowed.
-
E.
failsToMarry
Indicates that an expected or attempted marriage between entities does not successfully occur.
- 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_69e75a972c6481909bc11710e8d30a6c |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f493968b5c8190bc0108a23b81b38a |
completed | May 1, 2026, 11:50 a.m. |
| PD | Predicate disambiguation | batch_69f45d06d0388190b36ecde92013624a |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 21, 2026, 1:25 p.m.