Triple
T30913669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess of Saudi Arabia |
E787522
|
entity |
| Predicate | typicalHonorificStyle |
P2097
|
FINISHED |
| Object | Her Royal Highness |
E113964
|
NE 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 of Saudi Arabia, typicalHonorificStyle, Her Royal Highness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalHonorificStyle Context triple: [Princess of Saudi Arabia, typicalHonorificStyle, Her Royal Highness]
-
A.
honorificType
Indicates the type or category of honorific or formal title associated with an entity in a given context.
-
B.
honorificInitial
Indicates that one entity is the initial letter or abbreviated form of an honorific title used for another entity.
-
C.
honorificUsage
Indicates that one entity refers to or addresses another using an honorific title or respectful linguistic form.
-
D.
honorificStructure
Indicates a relationship where one entity’s title, form of address, or honorific expression is structurally linked to or derived from another entity within a formal naming or address system.
-
E.
honorificTitle
chosen
Indicates that one entity serves as a formal honorific or respectful title used to address or refer to another entity.
- F. None of above.
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_69f224be300c8190a6513ce1ee0a7026 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a28e464082c81908b42a5fcc30e1f06 |
completed | June 10, 2026, 4:13 a.m. |
| PD | Predicate disambiguation | batch_6a0379e2fac0819089b522db3260028c |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 8:51 p.m.