Triple
T38440687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Making Believe |
E906476
|
entity |
| Predicate | hasNotableGenreInterpretation |
P112425
|
FINISHED |
| Object | country ballad |
—
|
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: country ballad | Statement: [Making Believe, hasNotableGenreInterpretation, country ballad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableGenreInterpretation Context triple: [Making Believe, hasNotableGenreInterpretation, country ballad]
-
A.
hasNotableGenre
Indicates that an entity is significantly associated with a particular genre, such that the genre is especially characteristic or noteworthy for that entity.
-
B.
hasNotableSubgenre
Indicates that one genre is recognized as a particularly significant or prominent subgenre of another genre.
-
C.
hasNotableGenreContext
Indicates that an entity’s genre is significant or noteworthy in understanding its context, interpretation, or impact.
-
D.
hasNotableInterpretationIn
chosen
Indicates that something (such as a work, concept, or symbol) has a significant or widely recognized interpretation within a specified context, field, or tradition.
-
E.
hasNotableInterpretationType
Indicates that an entity is associated with a specific type or category of notable interpretation applied to it.
- 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_69f76e72878c8190a692836c8b01b58b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:31 p.m.