Triple
T34491733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Derby |
E885485
|
entity |
| Predicate | honorificUsageContext |
P157528
|
FINISHED |
| Object | aristocratic and ceremonial settings |
—
|
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: aristocratic and ceremonial settings | Statement: [Lady Derby, honorificUsageContext, aristocratic and ceremonial settings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honorificUsageContext Context triple: [Lady Derby, honorificUsageContext, aristocratic and ceremonial settings]
-
A.
honorificContext
chosen
Indicates that one entity is referred to or addressed using an honorific form or within a socially respectful linguistic context relative to another entity or situation.
-
B.
honorificUsage
Indicates that one entity refers to or addresses another using an honorific title or respectful linguistic form.
-
C.
honorificUse
Indicates that one entity refers to or addresses another using an honorific title or respectful linguistic form.
-
D.
honorificSense
Indicates that one entity refers to another using an honorific or respectful linguistic form.
-
E.
honorificForEthnicityContext
Indicates that an honorific or respectful form of address is used specifically in relation to a person’s ethnicity or ethnic background.
- 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_69f349cafcec8190997b45b3fdc16c27 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f757898fe48190b124dc7301672623 |
completed | May 3, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69f754c484348190948d2a04ff228fb1 |
completed | May 3, 2026, 1:59 p.m. |
Created at: May 1, 2026, 2:01 a.m.