Triple
T4566680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baron |
E121925
|
entity |
| Predicate | femaleTitleStyle |
P1805
|
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: [Baron, femaleTitleStyle, Lady]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: femaleTitleStyle Context triple: [Baron, femaleTitleStyle, Lady]
-
A.
officeHolderTitleWhenFemale
Indicates the specific title used for a person holding an office when that office holder is female.
-
B.
hasGenderedTitle
chosen
Indicates that an entity is associated with a title or form of address that is explicitly marked for a particular gender.
-
C.
nameStyle
Indicates how an entity’s name is formatted or stylistically presented (e.g., capitalization, punctuation, or naming convention).
-
D.
motherTitle
Indicates the formal title or honorific associated with a person's mother.
-
E.
titleHolderStyle
Indicates the manner or format in which a title holder’s status or designation is presented or styled in relation to 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_69bd463f156881908a99aca69c5721ac |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd589e35808190aa609bb04b128dbe |
completed | March 20, 2026, 2:24 p.m. |
| PD | Predicate disambiguation | batch_69bd5227063c8190973155a875b013a7 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:09 p.m.