Triple
T28444070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Storyteller |
E715790
|
entity |
| Predicate | featuresGenreRange |
P30020
|
FINISHED |
| Object | various genres |
—
|
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: various genres | Statement: [Storyteller, featuresGenreRange, various genres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresGenreRange Context triple: [Storyteller, featuresGenreRange, various genres]
-
A.
targetGenre
Indicates the genre that something is specifically aimed at, categorized under, or intended to belong to.
-
B.
genreRestriction
Indicates that there is a limitation or constraint on which genres are allowed or applicable in a given context.
-
C.
genreIncludes
Indicates that a broader genre category encompasses or contains a specified subgenre or work as part of its classification.
-
D.
supportedGenre
chosen
Indicates that an entity (such as a system, service, or tool) is capable of handling, providing, or working with a specified genre.
-
E.
genreFeatures
Indicates that a particular genre is characterized or defined by certain features or attributes.
- 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_69efd6b44550819094ae991b553d9fc3 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69fe779248c081909f0ed1a2a0df23db |
completed | May 8, 2026, 11:53 p.m. |
| PD | Predicate disambiguation | batch_69fe76eaf6d48190998bc7168749cc42 |
completed | May 8, 2026, 11:51 p.m. |
Created at: April 28, 2026, 1:47 a.m.