Triple
T36124263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunday Rose Kidman Urban |
E1044833
|
entity |
| Predicate | fatherGenre |
P184721
|
FINISHED |
| Object | country music |
—
|
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 music | Statement: [Sunday Rose Kidman Urban, fatherGenre, country music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fatherGenre Context triple: [Sunday Rose Kidman Urban, fatherGenre, country music]
-
A.
filmGenreOfParentWork
Indicates that a specified film genre is the genre of the parent (original or overarching) work from which another work is derived.
-
B.
hasMotherGenre
Indicates that one genre is the parent or broader category from which another, more specific genre is derived.
-
C.
bearerGenre
Indicates that an entity (the bearer) is associated with or characterized by a particular genre.
-
D.
genre
Indicates the artistic or thematic category to which a work (such as a book, film, or song) belongs.
-
E.
favoriteGenre
Indicates that one entity’s preferred or most liked genre, among several possible genres, is the other entity.
- F. None of above. chosen
Provenance (4 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_69f76e356c908190abc6ca1e6a05b011 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b3e2f3c08190be4fd1ae4fa1266d |
completed | May 3, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bcc47081909fe7d592ac69006c |
completed | May 3, 2026, 8:36 p.m. |
| PDg | Predicate description generation | batch_69f7b3e0f1c88190985feab6cee8b05e |
completed | May 3, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:08 p.m.