Triple
T22573716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Swanberg |
E544337
|
entity |
| Predicate | created |
P538
|
FINISHED |
| Object | Easy (TV series) |
—
|
NE NERFINISHED |
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: Easy (TV series) | Statement: [Joe Swanberg, created, Easy (TV series)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Easy (TV series) Context triple: [Joe Swanberg, created, Easy (TV series)]
-
A.
Easy (TV series)
chosen
Easy is an American anthology comedy-drama television series created by Joe Swanberg that explores modern love, relationships, and technology through loosely connected stories set in Chicago.
-
B.
Nice ’n’ Easy
Nice ’n’ Easy is a popular song with lyrics by Alan and Marilyn Bergman, best known through Frank Sinatra’s smooth, laid-back 1960 recording.
-
C.
The Easy Way
"The Easy Way" is a song featured on the album "Back Home."
-
D.
The Easiest Way
The Easiest Way is a 1917 American silent drama film starring Clara Kimball Young, adapted from Eugene Walter’s popular stage play of the same name.
-
E.
Mr. Easy
Mr. Easy is a Jamaican reggae and dancehall singer known for smooth vocals and collaborations within the genre.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15fea683c81908fbf9f171eed3341 |
completed | April 29, 2026, 1:33 a.m. |
Created at: April 16, 2026, 8:53 p.m.