Triple
T15782348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jay Cronley |
E382649
|
entity |
| Predicate | authorOf |
P4244
|
FINISHED |
| Object | Good Vibes |
E1176868
|
NE 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: Good Vibes | Statement: [Jay Cronley, authorOf, Good Vibes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Good Vibes Context triple: [Jay Cronley, authorOf, Good Vibes]
-
A.
Good Vibes
Good Vibes is an animated television series known for its raunchy teen comedy set in a Southern California surf town.
-
B.
Good Vibes
chosen
Good Vibes is a humorous novel by American writer Jay Cronley, known for its offbeat characters and comedic take on everyday life.
-
C.
Good Feeling
"Good Feeling" is the debut studio album by Scottish rock band Travis, showcasing their early Britpop-influenced sound.
-
D.
Feels Good
"Feels Good" is a 1990 new jack swing and R&B hit single by Tony! Toni! Toné! that became one of the group's signature songs.
-
E.
Feels Good
"Feels Good" is a popular jazz composition closely associated with the German a cappella group Take 6, showcasing their intricate harmonies and innovative vocal arrangements.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05400716881909bc43212c8ea54d5 |
completed | April 16, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff9987140c8190a50da103905a7930 |
completed | May 9, 2026, 8:31 p.m. |
Created at: April 10, 2026, 4:48 a.m.