Triple
T25437289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles II, Duke of Guelders |
E637409
|
entity |
| Predicate | hasNoLegitimateChildren |
P179894
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Charles II, Duke of Guelders, hasNoLegitimateChildren, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoLegitimateChildren Context triple: [Charles II, Duke of Guelders, hasNoLegitimateChildren, true]
-
A.
hasNoChildren
Indicates that the subject entity does not have any children associated with it.
-
B.
hasNoChildrenWith
Indicates that two entities do not have any children together as a result of their relationship.
-
C.
hasIllegitimateChildrenWith
Indicates that one entity and another have conceived or parented children together who are considered illegitimate (born outside a legally or socially recognized union).
-
D.
cannotHaveChildren
Indicates that the subject is unable to have offspring or produce children.
-
E.
hasNoAutomaticSuccessionRight
Indicates that an entity does not possess an inherent or legally recognized right to automatically succeed another entity in a role, position, or entitlement.
- F. None of above. chosen
Provenance (4 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_69e75db6c97081908178383fa632b193 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
| PDg | Predicate description generation | batch_69f72920c6208190aa4aba6cb6193109 |
completed | May 3, 2026, 10:53 a.m. |
Created at: April 21, 2026, 2 p.m.