Triple
T5752781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Swanberg |
E126890
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Easy
Easy is an anthology-style Netflix comedy-drama series created by Joe Swanberg that explores modern relationships, sex, and technology in Chicago through loosely connected stories.
|
E544346
|
NE FINISHED |
How this triple was built (4 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 | Statement: [Joe Swanberg, notableWork, Easy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Easy Context triple: [Joe Swanberg, notableWork, Easy]
-
A.
Easy
"Easy" is a song by Joanna Newsom from her 2010 triple album *Have One on Me*, noted for its intricate harp arrangements and poetic lyrics.
-
B.
Easy
"Easy" is a soulful 1977 ballad by the Commodores, written and sung by Lionel Richie, that became one of the group's signature hits.
-
C.
Easy
"Easy" is a track from Kanye West's album *Donda 2*, notable for its raw, confrontational lyrics and high-profile collaborations.
-
D.
Easy
Easy is a South American home improvement and construction retail chain known for selling building materials, tools, and household products.
-
E.
Easy A
Easy A is a 2010 teen comedy film that satirizes high school culture and social reputation, starring Emma Stone as a student whose fabricated promiscuity spirals out of control.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Easy Triple: [Joe Swanberg, notableWork, Easy]
Generated description
Easy is an anthology-style Netflix comedy-drama series created by Joe Swanberg that explores modern relationships, sex, and technology in Chicago through loosely connected stories.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Easy Target entity description: Easy is an anthology-style Netflix comedy-drama series created by Joe Swanberg that explores modern relationships, sex, and technology in Chicago through loosely connected stories.
-
A.
Easy
"Easy" is a song by Joanna Newsom from her 2010 triple album *Have One on Me*, noted for its intricate harp arrangements and poetic lyrics.
-
B.
Easy
"Easy" is a soulful 1977 ballad by the Commodores, written and sung by Lionel Richie, that became one of the group's signature hits.
-
C.
Easy
"Easy" is a track from Kanye West's album *Donda 2*, notable for its raw, confrontational lyrics and high-profile collaborations.
-
D.
Easy
Easy is a South American home improvement and construction retail chain known for selling building materials, tools, and household products.
-
E.
Easy A
Easy A is a 2010 teen comedy film that satirizes high school culture and social reputation, starring Emma Stone as a student whose fabricated promiscuity spirals out of control.
- F. None of above. chosen
Provenance (5 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e3e71988190a938a6d175023028 |
completed | March 22, 2026, 11:41 p.m. |
| NEDg | Description generation | batch_69c08cf206188190a4e5bb2649d97be9 |
completed | March 23, 2026, 12:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c08dc4d12c8190a7a245d583ef08d4 |
completed | March 23, 2026, 12:48 a.m. |
Created at: March 22, 2026, 3:48 p.m.