Triple
T29145228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memoirs of the Court of Queen Elizabeth |
E738751
|
entity |
| Predicate | historicalGenreSubtype |
P52837
|
FINISHED |
| Object | court memoir |
—
|
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: court memoir | Statement: [Memoirs of the Court of Queen Elizabeth, historicalGenreSubtype, court memoir]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalGenreSubtype Context triple: [Memoirs of the Court of Queen Elizabeth, historicalGenreSubtype, court memoir]
-
A.
historicalGenre
chosen
Indicates that something belongs to or is categorized within a particular historical genre.
-
B.
historicallyImportantGenre
Indicates that the subject genre has played a significant and influential role in history or cultural development.
-
C.
historicalType
Indicates that one entity classifies or characterizes another in terms of its role, status, or category within a historical context.
-
D.
historicalCategory
Indicates that an entity is classified within a particular historical grouping, period, or type based on its time-related characteristics or context.
-
E.
historicalAdaptation
Indicates that one entity is an adaptation, reinterpretation, or version of another entity set in or tailored to a historical context.
- 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_69f07cb46f148190874eb8576a447567 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69fe744faca881908e11e90e0a35653f |
completed | May 8, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69fe734cbf7081909a552c5cf3b5ea59 |
completed | May 8, 2026, 11:35 p.m. |
Created at: April 28, 2026, 11:39 a.m.