Triple
T19534478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North |
E488733
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | She's So Mean |
—
|
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: She's So Mean | Statement: [North, hasTrack, She's So Mean]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: She's So Mean Context triple: [North, hasTrack, She's So Mean]
-
A.
She's So Mean
chosen
"She's So Mean" is a 2012 pop-rock single by American band Matchbox Twenty, known for its catchy hook and portrayal of a tumultuous relationship.
-
B.
She's So Hard
"She's So Hard" is an EP by Australian indie rock band The Jezabels that helped establish their atmospheric, emotionally charged sound.
-
C.
Bad to Me
"Bad to Me" is a 1963 pop song written by John Lennon and Paul McCartney that became a hit single for Billy J. Kramer and the Dakotas.
-
D.
Poor Fool
"Poor Fool" is a track from 2 Chainz's album "Pretty Girls Like Trap Music," showcasing his signature trap style and lyrical bravado.
-
E.
Bright Side Girl
"Bright Side Girl" is a song by the American rock band Soul, likely featuring their characteristic alternative rock sound and introspective lyrics.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e636417ed88190b4c66a323bca776f |
completed | April 20, 2026, 2:20 p.m. |
Created at: April 10, 2026, 1:41 p.m.