Triple
T10767287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leda and the Swan |
E253985
|
entity |
| Predicate | laterCollectionYear |
P21688
|
FINISHED |
| Object | 1928 |
—
|
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: 1928 | Statement: [Leda and the Swan, laterCollectionYear, 1928]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterCollectionYear Context triple: [Leda and the Swan, laterCollectionYear, 1928]
-
A.
laterCollectionPublicationYear
chosen
Indicates that the referenced collection was published in a year later than the year associated with the compared collection or work.
-
B.
laterReleaseYear
Indicates that the release year of one entity occurs after the release year of another entity.
-
C.
laterTypicalEditionYear
Indicates that one edition’s typical publication year occurs after that of another edition.
-
D.
laterReleased
Indicates that one entity was released at a time chronologically after the release of another entity.
-
E.
laterTypeStartYear
Indicates that the starting year of one type or classification occurs later in time than the starting year of another type or classification.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d7322eb2f08190999e09428e7f7ba8 |
completed | April 9, 2026, 4:59 a.m. |
| PD | Predicate disambiguation | batch_69d6f311529c819080ca5493d55d6050 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:16 p.m.