Triple
T14374133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Characters Edition Harry Potter |
E356430
|
entity |
| Predicate | hasSubseriesTheme |
P81031
|
FINISHED |
| Object | individual character celebration |
—
|
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: individual character celebration | Statement: [Great Characters Edition Harry Potter, hasSubseriesTheme, individual character celebration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubseriesTheme Context triple: [Great Characters Edition Harry Potter, hasSubseriesTheme, individual character celebration]
-
A.
hasSubSeries
Indicates that one series is a subordinate or component series within a larger parent series.
-
B.
hasSeriesSubject
chosen
Indicates that a series is about, centers on, or thematically focuses on a particular subject.
-
C.
belongsToSubseries
Indicates that one item is part of, or contained within, a more specific subseries of a larger series or collection.
-
D.
hasThematicOrigin
Indicates that something originates from, or is thematically derived from, a particular source, subject, or theme.
-
E.
hasCentralTheme
Indicates that one entity serves as the primary or dominant theme or subject matter of another entity.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9007184c8190aebb003cb6548cc8 |
completed | April 14, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69de2a9cb3e081909f6b33fdd939bb9e |
completed | April 14, 2026, 11:53 a.m. |
Created at: April 10, 2026, 1:15 a.m.