Triple
T14178192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beerbongs & Bentleys |
E351384
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Blame It on Me |
E340557
|
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: Blame It on Me | Statement: [Beerbongs & Bentleys, hasPart, Blame It on Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blame It on Me Context triple: [Beerbongs & Bentleys, hasPart, Blame It on Me]
-
A.
Blame It on Me
chosen
"Blame It on Me" is a song by American rapper and singer Post Malone from his hit album "Beerbongs & Bentleys."
-
B.
Sorry, Blame It on Me
"Sorry, Blame It on Me" is an R&B/pop song by Akon in which he delivers a public apology addressing personal controversies and media criticism.
-
C.
Don’t Blame Me
"Don’t Blame Me" is a punk rock song by Marky Ramone and the Intruders, showcasing the high-energy style of the former Ramones drummer’s post-Ramones band.
-
D.
Don’t Blame Me
"Don’t Blame Me" is a dark, synth-heavy pop song by Taylor Swift that explores obsessive, all-consuming love on her 2017 album *Reputation*.
-
E.
Blame It
"Blame It" is a hit R&B single by Jamie Foxx featuring T-Pain, known for its heavy use of Auto-Tune and club-oriented production.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61c90abc8190a9b9dc1f50db59fa |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf80f03a48190a5374fb6374255a8 |
completed | May 7, 2026, 8:37 p.m. |
Created at: April 10, 2026, 1:02 a.m.