Triple
T3996365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lily Allen |
E87106
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Fuck You |
E324944
|
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: Fuck You | Statement: [Lily Allen, notableWork, Fuck You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fuck You Context triple: [Lily Allen, notableWork, Fuck You]
-
A.
F**k You
chosen
"F**k You" is a 2010 soul-pop single by CeeLo Green, known for its catchy retro sound and explicit, humorous take on heartbreak that became a viral hit.
-
B.
I Don't F*** with You
"I Don't F*** with You" is a 2014 breakup anthem by Big Sean featuring E-40, known for its aggressive, dismissive lyrics and widespread commercial success.
-
C.
U Got Me Fucked Up
"U Got Me Fucked Up" is a track by Chance the Rapper from his breakout mixtape *10 Day*, showcasing his early blend of witty lyricism and offbeat, melodic rap style.
-
D.
Fuh You
"Fuh You" is a 2018 pop-rock single by Paul McCartney from his album *Egypt Station*, noted for its playful double entendre and modern production.
-
E.
Freakin' Me
"Freakin' Me" is a track by will.i.am featured on his 2007 solo album "Songs About Girls," blending pop and hip-hop influences.
- 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_69aed94118148190975e6aa4e554cde9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa2159d88190a01de8b038341916 |
completed | March 9, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5403f14ec8190a77189c7066676f2 |
completed | March 14, 2026, 11:02 a.m. |
Created at: March 9, 2026, 3:34 p.m.