Triple
T25192406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duke of Noailles |
E630905
|
entity |
| Predicate | genderRestrictionHistorical |
P83274
|
FINISHED |
| Object | male-preference succession |
—
|
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 succession | Statement: [Duke of Noailles, genderRestrictionHistorical, male-preference succession]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genderRestrictionHistorical Context triple: [Duke of Noailles, genderRestrictionHistorical, male-preference succession]
-
A.
hasGenderHistory
Indicates that an entity has undergone or experienced a change or transition in gender over time.
-
B.
hasGenderedHistoricalTerm
Indicates that one entity is referred to by a historically used term whose form or usage is specific to a particular gender.
-
C.
historicalConstraints
chosen
Indicates that the relationship or action is limited, shaped, or determined by conditions, rules, or circumstances that existed in the past.
-
D.
historicallyAttracted
Indicates that one entity has experienced attraction toward another at some point in the past.
-
E.
historicalType
Indicates that one entity classifies or characterizes another in terms of its role, status, or category within a historical context.
- 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_69e75a8a6d088190ba1e82a4345225e7 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f46e113b448190a53554695d9441b4 |
completed | May 1, 2026, 9:10 a.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 21, 2026, 12:45 p.m.