Triple
T34097188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryan Edwards |
E874461
|
entity |
| Predicate | hasGenreOfFame |
P88335
|
FINISHED |
| Object | reality TV fame |
—
|
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: reality TV fame | Statement: [Ryan Edwards, hasGenreOfFame, reality TV fame]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGenreOfFame Context triple: [Ryan Edwards, hasGenreOfFame, reality TV fame]
-
A.
genreOfNotoriety
Indicates that an entity is known or famous specifically for a particular genre or category.
-
B.
knownForGenre
chosen
Indicates that an entity is recognized or notable for working in, producing, or being associated with a particular genre.
-
C.
genreOfPerson
Indicates that a person is associated with or specializes in a particular genre (such as a style, category, or type of creative work).
-
D.
fameFor
Indicates that one entity is widely known or recognized specifically because of, or in connection with, another entity.
-
E.
genreOfAssociatedPerson
Indicates that a particular genre is associated with a given person, such as an artist, author, or performer.
- 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_69f349a735208190a1dbfb1c2a121059 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd4f39b5008190b83b3227ce22c509 |
completed | May 8, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69fd4df17c548190a4e2a6fea70f7e10 |
completed | May 8, 2026, 2:44 a.m. |
Created at: May 1, 2026, 1:53 a.m.