Triple
T9365249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Patricia of Connaught |
E225382
|
entity |
| Predicate | renouncedStyle |
P88164
|
FINISHED |
| Object | Her Royal Highness |
—
|
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: Her Royal Highness | Statement: [Princess Patricia of Connaught, renouncedStyle, Her Royal Highness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: renouncedStyle Context triple: [Princess Patricia of Connaught, renouncedStyle, Her Royal Highness]
-
A.
usedStyle
Indicates that one entity employed or applied a particular style, method, or manner associated with another entity.
-
B.
styleGranted
Indicates that a particular style, manner, or mode of expression has been conferred or authorized for use by one entity to another.
-
C.
usesAsStyleOf
Indicates that one entity adopts or applies another entity as a stylistic model, method, or manner of expression.
-
D.
passingStyle
Indicates the manner or technique by which something (typically a ball or object) is passed from one entity to another.
-
E.
usedWithStyle
Indicates that something is employed or applied in conjunction with a particular style or stylistic manner.
- F. None of above. chosen
Provenance (4 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_69ca842cbddc819099d71ecec48cf9e5 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd5041261c81909edab3b7fcd1fe22 |
completed | April 1, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69cc7a6abb8c81908c7a2f4ee92cc949 |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc955a38108190b602d1e73725f11b |
completed | April 1, 2026, 3:47 a.m. |
Created at: March 30, 2026, 7:43 p.m.