Triple
T35920642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Summer (from the Four Seasons) |
E1038872
|
entity |
| Predicate | hasSeriesItem |
P196902
|
FINISHED |
| Object | Spring (from 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: Spring (from the Four Seasons) | Statement: [Summer (from the Four Seasons), hasSeriesItem, Spring (from the Four Seasons)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeriesItem Context triple: [Summer (from the Four Seasons), hasSeriesItem, Spring (from the Four Seasons)]
-
A.
hasSeriesElement
chosen
Indicates that something is a member or component within an ordered series associated with another entity.
-
B.
hasSeriesRecord
Indicates that one entity maintains a documented record or history of another entity’s participation or performance within a series.
-
C.
hasSeriesStructure
Indicates that one entity is organized as a sequence or series of related components or parts.
-
D.
hasSeriesNumber
Indicates that an entity is assigned a specific ordinal or sequence number within a series or ordered set.
-
E.
hasSeriesDefinition
Indicates that something is associated with a specific series-level definition that characterizes or constrains it.
- 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_6a00332eaa0c8190a69ea895576bb0ee |
completed | May 10, 2026, 7:26 a.m. |
| PD | Predicate disambiguation | batch_6a0032b2ea80819083b89ebb88165933 |
completed | May 10, 2026, 7:24 a.m. |
Created at: May 3, 2026, 4:07 p.m.