Triple
T25942948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Henry of Battenberg |
E653755
|
entity |
| Predicate | holderRoleAtCourt |
P45619
|
FINISHED |
| Object | companion to Queen Victoria |
—
|
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: companion to Queen Victoria | Statement: [Princess Henry of Battenberg, holderRoleAtCourt, companion to Queen Victoria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: holderRoleAtCourt Context triple: [Princess Henry of Battenberg, holderRoleAtCourt, companion to Queen Victoria]
-
A.
roleAtCourt
chosen
Indicates the specific position, function, or status an entity holds within a court or courtly setting.
-
B.
courtRole
Indicates the specific capacity or position an entity holds within a court proceeding or judicial context.
-
C.
legalCaseRole
Indicates the specific role or capacity an entity holds within a legal case, such as plaintiff, defendant, judge, or attorney.
-
D.
judicialRole
Indicates that one entity holds or performs a specific official function or position within the judicial system in relation to another entity or legal matter.
-
E.
legalSystemRole
Indicates the specific function, capacity, or position an entity holds within a legal or judicial system.
- 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_69e7ab3fd2f881908837305e4ba98011 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6046115b88190aa9011f53a54cddc |
completed | May 2, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69f602d07590819085ac34b189613104 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 22, 2026, 8:41 a.m.