Triple
T14928105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ameris Bank Amphitheatre |
E372183
|
entity |
| Predicate | primaryGenreHosted |
P51264
|
FINISHED |
| Object | rock 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: rock music | Statement: [Ameris Bank Amphitheatre, primaryGenreHosted, rock music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryGenreHosted Context triple: [Ameris Bank Amphitheatre, primaryGenreHosted, rock music]
-
A.
primarySourceGenre
Indicates the genre or type of creative work that serves as the primary source for something (e.g., an adaptation, derivative work, or related resource).
-
B.
targetGenre
Indicates the genre that something is specifically aimed at, categorized under, or intended to belong to.
-
C.
hasMainGenre
chosen
Indicates that an entity’s primary or most characteristic genre is the specified genre.
-
D.
favoriteGenre
Indicates that one entity’s preferred or most liked genre, among several possible genres, is the other entity.
-
E.
broadcastGenre
Indicates the genre or category under which a broadcast (such as a TV or radio program) is classified.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded634e67881909daec9eaef188d09 |
completed | April 15, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69de9a52ba988190a26e268b4ea083ea |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:35 a.m.