Triple
T10971080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Himiltrude |
E259233
|
entity |
| Predicate | partnerStatus |
P19626
|
FINISHED |
| Object | first partner of Charlemagne (traditional view) |
—
|
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: first partner of Charlemagne (traditional view) | Statement: [Himiltrude, partnerStatus, first partner of Charlemagne (traditional view)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partnerStatus Context triple: [Himiltrude, partnerStatus, first partner of Charlemagne (traditional view)]
-
A.
associationStatus
chosen
Indicates the current state or condition of an established association or relationship between entities.
-
B.
sponsorStatus
Indicates the current state or condition of an entity’s sponsorship relationship, such as whether it is active, pending, or inactive.
-
C.
agencyStatus
Indicates the current operational or legal condition under which an agency or agent is functioning (e.g., active, inactive, suspended, or terminated).
-
D.
hasPartner
Indicates that one entity is in a partner relationship (such as romantic, life, or business partnership) with another entity.
-
E.
partnerInOrganizationWith
Indicates that two entities are associated as partners within the same organization or organizational context.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7719a27488190b0b723cd0aba40bd |
completed | April 9, 2026, 9:30 a.m. |
| PD | Predicate disambiguation | batch_69d72e8c27cc81908050590b7a04cafd |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:24 p.m.