Triple
T20876491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parlophone R 5055 |
E514029
|
entity |
| Predicate | bSide |
P15273
|
FINISHED |
| Object | I'll Get You |
—
|
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: I'll Get You | Statement: [Parlophone R 5055, bSide, I'll Get You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I'll Get You Context triple: [Parlophone R 5055, bSide, I'll Get You]
-
A.
I'll Get You
chosen
"I'll Get You" is a 1963 Beatles song written primarily by John Lennon and Paul McCartney, notable as an early example of their close-harmony, Merseybeat style.
-
B.
I Got You
"I Got You" is a country song best known as the B-side to Dwight Yoakam's 1988 single "I Sang Dixie."
-
C.
I Got You
"I Got You" is a mellow, acoustic-driven love song by American singer-songwriter Jack Johnson, reflecting his signature laid-back, beach-influenced style.
-
D.
I Got You
"I Got You" is a song recorded by American singer Jackie Evancho, showcasing her classical crossover vocal style.
-
E.
I Got You
"I Got You" is a 1980 new wave pop song by New Zealand band Split Enz that became their breakthrough international hit and signature track.
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c674f68c8190a7b43aeea5b9b976 |
completed | April 21, 2026, 12:36 a.m. |
Created at: April 16, 2026, 12:45 p.m.