Triple
T29013723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Point of View (short story) |
E737241
|
entity |
| Predicate | includedInGenreCorpus |
P81115
|
FINISHED |
| Object | Golden Age science fiction short stories |
—
|
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: Golden Age science fiction short stories | Statement: [Point of View (short story), includedInGenreCorpus, Golden Age science fiction short stories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includedInGenreCorpus Context triple: [Point of View (short story), includedInGenreCorpus, Golden Age science fiction short stories]
-
A.
includedInGenreCollection
chosen
Indicates that something is a member of, or contained within, a specific genre-based collection.
-
B.
coveredInGenre
Indicates that a work or item is associated with, categorized under, or treated within a particular genre.
-
C.
includedInGenreDefiningWork
Indicates that one entity is part of, or contributes to, a work that is considered foundational or defining for a particular genre.
-
D.
hasGenreOfWorkItAppearsIn
Indicates that an entity is associated with the genre of the work in which it appears.
-
E.
referencedInGenre
Indicates that one entity is mentioned, cited, or otherwise referred to within the context of a particular genre.
- 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_69f077ee19f881909af48f9cab00a2e5 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69ff6074bcd4819090b72cd6209ff206 |
completed | May 9, 2026, 4:27 p.m. |
| PD | Predicate disambiguation | batch_69ff600aba888190812a6e7eca0283b8 |
completed | May 9, 2026, 4:25 p.m. |
Created at: April 28, 2026, 9:44 a.m.