Triple
T8505965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Gardner bibliography |
E201331
|
entity |
| Predicate | documentsGenre |
P22130
|
FINISHED |
| Object | recreational mathematics literature |
—
|
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: recreational mathematics literature | Statement: [Martin Gardner bibliography, documentsGenre, recreational mathematics literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: documentsGenre Context triple: [Martin Gardner bibliography, documentsGenre, recreational mathematics literature]
-
A.
genreDocumented
Indicates that a work’s genre has been formally recorded or documented.
-
B.
publishedGenre
Indicates that an entity has been published in, or is associated with, a particular genre.
-
C.
bookCategory
Indicates the classification or genre category to which a given book belongs.
-
D.
literaryGenreOfWork
chosen
Indicates that a work belongs to or is classified under a particular literary genre.
-
E.
documentationType
Indicates the specific category or kind of documentation associated with or required for an entity or process.
- 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_69ca831fe47c8190b5c57b456d2aefa0 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5db51e4819098dde316e87e8b0d |
completed | March 31, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69cbd10cfd208190a519049fad32c508 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:14 p.m.