Triple
T29587677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Cimetière d’Eylau |
E754065
|
entity |
| Predicate | literaryCollectionType |
P35593
|
FINISHED |
| Object | epic cycle |
—
|
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: epic cycle | Statement: [Le Cimetière d’Eylau, literaryCollectionType, epic cycle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: literaryCollectionType Context triple: [Le Cimetière d’Eylau, literaryCollectionType, epic cycle]
-
A.
literaryCollection
chosen
Indicates that one entity is a collection or compilation of literary works that includes or is associated with the other entity.
-
B.
literatureType
Indicates the specific category or genre of literature that characterizes or classifies a given work or text.
-
C.
literarySeriesType
Indicates the specific kind or category of a literary series that an entity belongs to or is characterized as.
-
D.
literarySeriesGenre
Indicates that a literary series belongs to or is categorized under a particular genre.
-
E.
libraryCollectionType
Indicates the specific category or type of collection that a library maintains or offers (e.g., reference, circulating, digital).
- 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_69f0ef836ac88190bd809dc58b5ec907 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc53f4f881908dcc698687bbb64d |
completed | May 3, 2026, 7:42 a.m. |
Created at: April 28, 2026, 6:12 p.m.