Triple
T5557234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heavy Weather |
E145673
|
entity |
| Predicate | literarySeriesOrder |
P54760
|
FINISHED |
| Object | fifth Blandings Castle novel |
—
|
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: fifth Blandings Castle novel | Statement: [Heavy Weather, literarySeriesOrder, fifth Blandings Castle novel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: literarySeriesOrder Context triple: [Heavy Weather, literarySeriesOrder, fifth Blandings Castle novel]
-
A.
literarySeries
Indicates that one work is part of, or belongs to, a larger literary series that connects multiple related works.
-
B.
literarySeriesOrderByPublication
chosen
Indicates the position of a work within a literary series based on the chronological order in which the works were published.
-
C.
literarySeriesFinaleOf
Indicates that one work is the concluding or final installment of a particular literary series.
-
D.
chronologicalOrderInSeries
Indicates that one entity appears earlier or later than another within an ordered sequence or series.
-
E.
seriesAuthor
Indicates that an entity is the author or primary creator of a series (such as a book, comic, or media 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_69c008fcaf788190bafa02a1917ee73b |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01ffe12cc81908186f28ace0f4d82 |
completed | March 22, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69c01b10bbf8819098655839c03b7832 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:36 p.m.