Triple
T17402166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Frederick, Grand Duke of Baden |
E423116
|
entity |
| Predicate | titlesStyle |
P127339
|
FINISHED |
| Object | His 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: His Royal Highness | Statement: [Charles Frederick, Grand Duke of Baden, titlesStyle, His Royal Highness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titlesStyle Context triple: [Charles Frederick, Grand Duke of Baden, titlesStyle, His Royal Highness]
-
A.
titleStylization
Indicates how the written form of a title is stylistically presented, such as through capitalization, spacing, punctuation, or special formatting.
-
B.
titleHolderStyle
Indicates the manner or format in which a title holder’s status or designation is presented or styled in relation to another entity.
-
C.
titleStyleInFull
Indicates that the specified title is presented in its complete, unabridged form, including all stylistic elements or formatting.
-
D.
titles
Indicates that one entity holds a formal title, designation, or name associated with another entity.
-
E.
titleVariant
Indicates that one title is an alternative or variant form of another title referring to the same work or entity.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b046ad88190a95bbeda4e602514 |
completed | April 19, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69e3b02e6cc88190986e85e64ce9383e |
completed | April 18, 2026, 4:24 p.m. |
| PDg | Predicate description generation | batch_69e3b2a33e8481908fa6ef45290d08aa |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:45 a.m.