Triple
T21562574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zara Larsson |
E532073
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Girls Like |
—
|
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: Girls Like | Statement: [Zara Larsson, notableWork, Girls Like]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Girls Like Context triple: [Zara Larsson, notableWork, Girls Like]
-
A.
Girls Like
chosen
"Girls Like" is a 2016 dance-pop and grime-influenced single by British rapper Tinie Tempah featuring Swedish singer Zara Larsson.
-
B.
Girls Like Me
Girls Like Me is a 1986 country music album by Tanya Tucker that helped solidify her comeback in the mid-1980s with several successful singles.
-
C.
Girl Like U
"Girl Like U" is a song by Snoop Dogg from his 2004 studio album R&G (Rhythm & Gangsta): The Masterpiece.
-
D.
Girls Like You
"Girls Like You" is a pop song by Maroon 5, widely known for its catchy melody and a hit remix featuring rapper Cardi B that topped charts worldwide.
-
E.
Girls Like You
"Girls Like You" is a song by American rapper Miguel from his debut studio album "All I Want Is You."
- 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_69e0c460db088190828c64206a450273 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eed2e5c3348190b67003e7027efa60 |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 16, 2026, 6:29 p.m.