Triple
T25567596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Four Elements |
E640880
|
entity |
| Predicate | hasSeriesRelation |
P109879
|
FINISHED |
| Object | paired with The Four Seasons |
—
|
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: paired with The Four Seasons | Statement: [The Four Elements, hasSeriesRelation, paired with The Four Seasons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeriesRelation Context triple: [The Four Elements, hasSeriesRelation, paired with The Four Seasons]
-
A.
seriesRelation
chosen
Indicates a relationship where one entity is part of, follows from, or is otherwise connected to another within an ordered series or sequence.
-
B.
belongsToTypeSeries
Indicates that something is a member or instance of a particular type series or classification series.
-
C.
hasParentSeries
Indicates that a work or item belongs to, or is derived from, a broader parent series.
-
D.
hasSeriesStructure
Indicates that one entity is organized as a sequence or series of related components or parts.
-
E.
hasSeriesRecord
Indicates that one entity maintains a documented record or history of another entity’s participation or performance within a series.
- 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_69e75dc1beb08190bac7d76b8d6e7bc4 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6db1f3ec48190a82e7d893d3c76ba |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
Created at: April 21, 2026, 3:50 p.m.