Triple
T11338964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaz Sinclair |
E268544
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Easy |
E544346
|
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: Easy | Statement: [Jaz Sinclair, appearedIn, Easy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Easy Context triple: [Jaz Sinclair, appearedIn, Easy]
-
A.
Easy
"Easy" is a track from Kanye West's album *Donda 2*, notable for its raw, confrontational lyrics and high-profile collaborations.
-
B.
Easy
Easy is a South American home improvement and construction retail chain known for selling building materials, tools, and household products.
-
C.
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.
-
D.
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.
-
E.
Easy
chosen
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.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea008b5081908e6c6c6fc29ef936 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5433d3e848190ad4f51c23d5a8bb2 |
completed | April 19, 2026, 9:03 p.m. |
Created at: April 8, 2026, 9:33 p.m.