Triple
T15186070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward of Angoulême |
E362877
|
entity |
| Predicate | impactOnMonarchy |
P55427
|
FINISHED |
| Object | contributed to accession of Richard II of England |
—
|
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: contributed to accession of Richard II of England | Statement: [Edward of Angoulême, impactOnMonarchy, contributed to accession of Richard II of England]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOnMonarchy Context triple: [Edward of Angoulême, impactOnMonarchy, contributed to accession of Richard II of England]
-
A.
impactOnMonarch
chosen
Indicates a relationship where an action, event, or condition produces an effect or consequence on a monarch.
-
B.
monarchy
Indicates a system of governance in which supreme authority is vested in a single ruler, typically a king or queen, whose position is usually hereditary.
-
C.
functionDuringMonarchy
Indicates that the function, role, or activity occurs or is in effect during a period of monarchy.
-
D.
impactOnColonies
Indicates the effect or influence that one factor, event, or condition has on colonies.
-
E.
viewedMonarchyAs
Indicates that one entity regarded or interpreted monarchy in a particular way or from a specific perspective.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067995fc8190b048f15086bd42f0 |
completed | April 15, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69deb97bd8bc8190b2ad4888f97cf963 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:09 a.m.