Triple
T4609796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Serpent and the Rainbow |
E100525
|
entity |
| Predicate | hasBookSourceGenre |
P31483
|
FINISHED |
| Object | non-fiction |
—
|
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: non-fiction | Statement: [The Serpent and the Rainbow, hasBookSourceGenre, non-fiction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBookSourceGenre Context triple: [The Serpent and the Rainbow, hasBookSourceGenre, non-fiction]
-
A.
hasGenreOrigin
chosen
Indicates that a genre originates from, or has its roots in, a particular source, place, culture, or tradition.
-
B.
containsBook
Indicates that one entity (typically a container or collection) includes a specific book as part of its contents.
-
C.
hasBook
Indicates that an entity possesses, owns, or is associated with a particular book.
-
D.
hasGenreInSeries
Indicates that a particular genre is associated with, or applies to, a work as it appears within a specific series.
-
E.
hasGoodreadsId
Indicates that an entity is associated with a specific identifier used by Goodreads to uniquely reference it in their system.
- 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_69bd43cce1e08190a07d53af6a9b6c24 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd599f08d88190ad4bed8bafb592cd |
completed | March 20, 2026, 2:28 p.m. |
| PD | Predicate disambiguation | batch_69bd522e2d5c8190937d0b5574f78f99 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:12 p.m.