Triple
T25189782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sun Gym gang |
E630831
|
entity |
| Predicate | genreOfNotoriety |
P159727
|
FINISHED |
| Object | true crime |
—
|
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: true crime | Statement: [Sun Gym gang, genreOfNotoriety, true crime]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfNotoriety Context triple: [Sun Gym gang, genreOfNotoriety, true crime]
-
A.
genreOfRecognition
Indicates the specific genre or category in which an entity (such as a work or person) is formally recognized, honored, or awarded.
-
B.
genreOfPerson
Indicates that a person is associated with or specializes in a particular genre (such as a style, category, or type of creative work).
-
C.
genreOfAppearance
Indicates the genre or type of creative work in which an entity appears.
-
D.
knownForGenre
Indicates that an entity is recognized or notable for working in, producing, or being associated with a particular genre.
-
E.
popularityType
Indicates the specific category or nature of how popularity is characterized or measured in the relationship.
- 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_69e75a8a6d088190ba1e82a4345225e7 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f5f7a205688190b8f36bff5013247c |
completed | May 2, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69f5afd5baac8190bb8ed576813c8591 |
completed | May 2, 2026, 8:03 a.m. |
| PDg | Predicate description generation | batch_69f5f6b32a8881909baa0db57b80d56a |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 21, 2026, 12:44 p.m.