Triple
T33380735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl of Wharncliffe |
E854768
|
entity |
| Predicate | genderedInheritance |
P145247
|
FINISHED |
| Object | male-preference primogeniture |
—
|
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: male-preference primogeniture | Statement: [Earl of Wharncliffe, genderedInheritance, male-preference primogeniture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genderedInheritance Context triple: [Earl of Wharncliffe, genderedInheritance, male-preference primogeniture]
-
A.
hasGenderedInheritance
chosen
Indicates that inheritance rights or rules differ based on the gender of the individuals involved.
-
B.
genderNeutralSuccession
Indicates that succession or inheritance follows rules that do not prioritize or distinguish heirs based on gender.
-
C.
patriarchalLineage
Indicates a familial relationship where descent, inheritance, or identity is traced through the male line or father’s ancestry.
-
D.
hasGenderInSomeTraditions
Indicates that, in at least some cultural, religious, or historical traditions, the subject is regarded as having a specific gender.
-
E.
hasGenderDistinction
Indicates that a relationship, classification, or linguistic form differentiates entities based on gender categories.
- 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_69f3496ca10c8190908640d18fa00832 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f38159d08190980ad639e08f00f4 |
completed | May 3, 2026, 7:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d7bee48190b94e0beb48a1d7fa |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:35 a.m.