Triple
T9939981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haakon Magnus |
E194052
|
entity |
| Predicate | monarchistTitle |
P51784
|
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: [Haakon Magnus, monarchistTitle, His Royal Highness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monarchistTitle Context triple: [Haakon Magnus, monarchistTitle, His Royal Highness]
-
A.
monarchTitleAfter
Indicates that one monarch’s title directly follows or succeeds another monarch’s title in a temporal or ordinal sequence.
-
B.
styleOfMonarchTitle
chosen
Indicates the specific formal style or wording used in the official title of a monarch.
-
C.
monarchName
Indicates the personal name or official regnal name of a monarch in the relationship.
-
D.
monarchTitleAtCoronation
Indicates the specific royal title a monarch held at the moment of their coronation.
-
E.
monarchTitleGenderedForm
Indicates the specific gendered version of a monarch’s title (e.g., king vs. queen) used to refer to that ruler.
- 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_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb60f4ffc8190bfe916bb4a7bf5c5 |
completed | April 2, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9428cc81909b4b4938566d78a7 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:44 p.m.