Triple
T14114751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patrik Berger |
E339739
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | I Love It |
E1079656
|
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: I Love It | Statement: [Patrik Berger, notableWork, I Love It]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Love It Context triple: [Patrik Berger, notableWork, I Love It]
-
A.
I Love It
"I Love It" is a 2018 hip hop single by Lil Pump and Kanye West, known for its minimalist beat, viral music video, and widespread meme popularity.
-
B.
I Love It
chosen
"I Love It" is a high-energy electro-pop song by Swedish duo Icona Pop featuring Charli XCX that became an international hit and party anthem in the early 2010s.
-
C.
I Luv It
"I Luv It" is a popular hip-hop single by American rapper Jeezy, known for its catchy hook and celebration of success and street resilience.
-
D.
I Like It
"I Like It" is a dance-pop song produced by RedOne, best known for its energetic club sound and catchy, radio-friendly hook.
-
E.
I Like It
"I Like It" is a song featured on the soundtrack of the HBO teen drama series *Euphoria*.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de600f992c81908133813f2894dcca |
completed | April 14, 2026, 3:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7e04184819081633f9cfc0ccab9 |
completed | May 7, 2026, 8:36 p.m. |
Created at: April 9, 2026, 10:22 p.m.