Triple
T1595313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duke of Buckingham |
E34266
|
entity |
| Predicate | notablePlotElement |
P7734
|
FINISHED |
| Object | diamond studs of Queen Anne |
—
|
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: diamond studs of Queen Anne | Statement: [Duke of Buckingham, notablePlotElement, diamond studs of Queen Anne]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notablePlotElement Context triple: [Duke of Buckingham, notablePlotElement, diamond studs of Queen Anne]
-
A.
notableScene
Indicates that a particular scene is especially significant, memorable, or noteworthy within a work or context.
-
B.
centralPlotDevice
Indicates that one entity functions as the main narrative mechanism or element around which the plot of the other entity is structured.
-
C.
notableElement
chosen
Indicates that an entity has a component, feature, or part that is especially significant, prominent, or noteworthy in relation to it.
-
D.
notableStory
Indicates that an entity is the subject or source of a story, account, or narrative that is considered notable or significant.
-
E.
notableFact
Indicates that there exists a particularly significant or noteworthy fact or piece of information associated with the subject.
- 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_69a885fdcb9c819081ce6f0b8cd477dd |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a916d413f08190a4e137e5ed262e25 |
completed | March 5, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69a907bfb39c8190a31e0be14d3d52e6 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:27 p.m.