Triple
T35914021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darnley Portrait |
E1038695
|
entity |
| Predicate | depictsReign |
P193909
|
FINISHED |
| Object | reign of Elizabeth I 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: reign of Elizabeth I of England | Statement: [Darnley Portrait, depictsReign, reign of Elizabeth I of England]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsReign Context triple: [Darnley Portrait, depictsReign, reign of Elizabeth I of England]
-
A.
describesReignOf
Indicates that something (such as a text, record, or account) provides information about the period during which a particular ruler or authority was in power.
-
B.
depictsMonarch
Indicates that one entity visually represents or portrays a monarch in some medium or form.
-
C.
reignTo
Indicates that one entity exercises ruling authority or governance over another entity or domain during a particular period.
-
D.
reignCharacterizedBy
Indicates that a ruler’s period of governance is defined or distinguished by a particular quality, condition, or notable feature.
-
E.
reignIs
Indicates that one entity holds ruling authority or sovereignty over another for a specified period.
- 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_69f76e2259608190bf6788a132e0d139 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd592e48cc81909d754cc6c4bd99ae |
completed | May 8, 2026, 3:31 a.m. |
| PD | Predicate disambiguation | batch_69fd58b7f9b881909dc099b28d567784 |
completed | May 8, 2026, 3:30 a.m. |
| PDg | Predicate description generation | batch_69fd592cc56081908ce456114d407616 |
completed | May 8, 2026, 3:31 a.m. |
Created at: May 3, 2026, 4:07 p.m.