Triple
T9300224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simple Dreams |
E223739
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | It’s So Easy |
E221961
|
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: It’s So Easy | Statement: [Simple Dreams, notableSingle, It’s So Easy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: It’s So Easy Context triple: [Simple Dreams, notableSingle, It’s So Easy]
-
A.
It’s So Easy
chosen
"It’s So Easy" is a rock and roll song best known for Linda Ronstadt’s hit 1977 cover, which became one of her signature tracks.
-
B.
It's So Easy
"It's So Easy" is a hard rock song by Guns N' Roses, known as one of the standout tracks from their debut album.
-
C.
It Ain't Easy
"It Ain't Easy" is a reflective, introspective track by 2Pac that explores the hardships and moral struggles of life in the streets.
-
D.
Easy to Love
"Easy to Love" is a popular Cole Porter standard that has been widely recorded in jazz and pop, including by Ella Fitzgerald on her celebrated Cole Porter songbook album.
-
E.
Make It Easy on Yourself
"Make It Easy on Yourself" is a classic pop ballad, originally a 1960s hit written by Burt Bacharach and Hal David and covered by numerous artists including Cissy Houston.
- 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_69ca8423edb08190bc0c91287a484768 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd08d070c881908bed41aada6f85ae |
completed | April 1, 2026, noon |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c77b8bf481909c5abf6523f75b2c |
completed | April 4, 2026, 8:10 a.m. |
Created at: March 30, 2026, 7:36 p.m.