Triple
T16066219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duchess of Lugo |
E389737
|
entity |
| Predicate | titleHolderHasStyle |
P17682
|
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: [Duchess of Lugo, titleHolderHasStyle, Her Royal Highness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleHolderHasStyle Context triple: [Duchess of Lugo, titleHolderHasStyle, Her Royal Highness]
-
A.
titleHolderStyle
chosen
Indicates the manner or format in which a title holder’s status or designation is presented or styled in relation to another entity.
-
B.
titleHolderIs
Indicates that one entity currently holds or possesses a specific title associated with another entity.
-
C.
titleHolderClass
Indicates the class or category of entity that holds or bears a particular title.
-
D.
titleHolderIsUsually
Indicates that an entity serving as a title holder is typically or most commonly a particular type or category of entity.
-
E.
titleStyleInFull
Indicates that the specified title is presented in its complete, unabridged form, including all stylistic elements or formatting.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e18272f2288190a17d45fb01cc2b07 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:57 a.m.