Triple
T35920653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Summer (from the Four Seasons) |
E1038872
|
entity |
| Predicate | seriesHasSubject |
P81031
|
FINISHED |
| Object | the four seasons |
—
|
NE NERFINISHED |
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: the four seasons | Statement: [Summer (from the Four Seasons), seriesHasSubject, the four seasons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesHasSubject Context triple: [Summer (from the Four Seasons), seriesHasSubject, the four seasons]
-
A.
hasSeriesSubject
chosen
Indicates that a series is about, centers on, or thematically focuses on a particular subject.
-
B.
seriesSubject
Indicates that an entity serves as the main subject or focus of a series, such as a sequence of related works or installments.
-
C.
hasGenreInSeries
Indicates that a particular genre is associated with, or applies to, a work as it appears within a specific series.
-
D.
hasAssociatedTVSeries
Indicates that one entity is linked to another entity that is a related or derived television series.
-
E.
isTitleSeriesOf
Indicates that one entity is the title or name associated with a particular series (such as a book, film, or media franchise).
- 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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd5bf69acc819092a01e4259785dc3 |
completed | May 8, 2026, 3:43 a.m. |
| PD | Predicate disambiguation | batch_69fd59b3f4ac8190a7f9dd3142da6e09 |
completed | May 8, 2026, 3:34 a.m. |
Created at: May 3, 2026, 4:07 p.m.