Triple
T18101455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milbanke baronets |
E433226
|
entity |
| Predicate | honorificPrefixForWife |
P114294
|
FINISHED |
| Object | Lady |
—
|
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: Lady | Statement: [Milbanke baronets, honorificPrefixForWife, Lady]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honorificPrefixForWife Context triple: [Milbanke baronets, honorificPrefixForWife, Lady]
-
A.
honorificPrefix
Indicates the formal title or respectful prefix (e.g., "Dr.", "Mr.", "Prof.") used before a person's name to denote status, role, or honor.
-
B.
honorificSuffix
Indicates that one entity is a respectful or formal suffix appended to another entity’s name or title.
-
C.
honorificPrefixOfFather
Indicates that the subject is an honorific prefix or title used before the name of the object’s father.
-
D.
honorificNameOf
Indicates that one entity is the honorific or respectful name or title used to refer to another entity.
-
E.
honoraryPrefix
chosen
Indicates that one entity serves as an honorific title or respectful prefix attached to the name of another entity.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddb6fed8819090798683353a5c08 |
completed | April 19, 2026, 1:50 p.m. |
| PD | Predicate disambiguation | batch_69e4330e1f2881908b2506d47c48736b |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:27 a.m.