Triple
T13996632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Boy Who Knew Too Much |
E336713
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | Blame It on the Girls |
E1074242
|
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 the Girls | Statement: [The Boy Who Knew Too Much, notableSingle, Blame It on the Girls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blame It on the Girls Context triple: [The Boy Who Knew Too Much, notableSingle, Blame It on the Girls]
-
A.
Blame It on the Girls
chosen
"Blame It on the Girls" is a pop song by Mika, released as a single from his second studio album "The Boy Who Knew Too Much."
-
B.
Blame It on Me
"Blame It on Me" is a song by American rapper and singer Post Malone from his hit album "Beerbongs & Bentleys."
-
C.
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.
-
D.
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.
-
E.
This One's for the Girls
"This One's for the Girls" is a popular country song by Martina McBride that celebrates and empowers women at different stages of life.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb68ba88190bfaf10777d607bf3 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc32789e08190be0f1d1685dcc90e |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:19 p.m.