Triple
T4941636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Armand Jean du Plessis, Cardinal Richelieu |
E110947
|
entity |
| Predicate | genreOfRepresentation |
P9800
|
FINISHED |
| Object | historical figure in literature |
—
|
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: historical figure in literature | Statement: [Armand Jean du Plessis, Cardinal Richelieu, genreOfRepresentation, historical figure in literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfRepresentation Context triple: [Armand Jean du Plessis, Cardinal Richelieu, genreOfRepresentation, historical figure in literature]
-
A.
genreOfAppearance
Indicates the genre or type of creative work in which an entity appears.
-
B.
genreOfCollection
Indicates that a specified genre categorizes or characterizes a particular collection.
-
C.
genreOfAssociatedPerson
Indicates that a particular genre is associated with a given person, such as an artist, author, or performer.
-
D.
depictionType
chosen
Indicates the specific manner or style in which something is visually represented or depicted.
-
E.
genreWithin
Indicates that one genre is a subgenre or more specific category contained within another, broader genre.
- 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_69bd4415eee08190bdce70276e56a5b4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd708ba9888190baf4e79c8f159e9f |
completed | March 20, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69bd6c389b9881908ad7fb1c5393c1b1 |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:31 p.m.