Triple
T35914480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cult of Gloriana |
E1038706
|
entity |
| Predicate | depictedElizabethAs |
P85281
|
FINISHED |
| Object | quasi-divine |
—
|
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: quasi-divine | Statement: [Cult of Gloriana, depictedElizabethAs, quasi-divine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictedElizabethAs Context triple: [Cult of Gloriana, depictedElizabethAs, quasi-divine]
-
A.
hasElizabethIAs
Indicates that the subject has Elizabeth I in the specified role, capacity, or relation.
-
B.
depictionOfMary
Indicates that something is a visual or artistic representation of Mary.
-
C.
originalElizabethIActor
Indicates that the subject is the actor who originally portrayed the character of Elizabeth I in a given production or work.
-
D.
depictsMonarch
chosen
Indicates that one entity visually represents or portrays a monarch in some medium or form.
-
E.
eraDepicted
Indicates that a work or representation portrays, illustrates, or is set in a particular historical era or time period.
- 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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd5d48855c8190bd93070b6a00d8b5 |
completed | May 8, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69fd5c9aabb88190912800d90184a89d |
completed | May 8, 2026, 3:46 a.m. |
Created at: May 3, 2026, 4:07 p.m.