Triple
T35920624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winter (from the Four Seasons) |
E1038871
|
entity |
| Predicate | seriesTitleInEnglish |
P133732
|
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: [Winter (from the Four Seasons), seriesTitleInEnglish, The Four Seasons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesTitleInEnglish Context triple: [Winter (from the Four Seasons), seriesTitleInEnglish, The Four Seasons]
-
A.
titleInEnglish
Indicates that an entity’s title or name is given in the English language.
-
B.
titleInLanguage
Indicates that a specific title or name is expressed in a particular language.
-
C.
languageOfSeries
Indicates the language in which a series is primarily produced, presented, or officially released.
-
D.
EnglishSeriesTitle
chosen
Indicates the title by which a series is known in the English language.
-
E.
seriesTitleElement
Indicates that the value represents a component or segment of the title of a series to which a resource belongs.
- 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_69fd592e48cc81909d754cc6c4bd99ae |
completed | May 8, 2026, 3:31 a.m. |
| PD | Predicate disambiguation | batch_69fd58b7f9b881909dc099b28d567784 |
completed | May 8, 2026, 3:30 a.m. |
Created at: May 3, 2026, 4:07 p.m.