Triple
T19536158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bandito Tour |
E488770
|
entity |
| Predicate | featuresSong |
P2152
|
FINISHED |
| Object | Cut My Lip |
—
|
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: Cut My Lip | Statement: [The Bandito Tour, featuresSong, Cut My Lip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cut My Lip Context triple: [The Bandito Tour, featuresSong, Cut My Lip]
-
A.
Cut My Lip
chosen
"Cut My Lip" is a song by American musical duo Twenty One Pilots from their album *Trench*, blending alternative rock and reggae-influenced elements with introspective lyrics.
-
B.
I Bit My Lip
"I Bit My Lip" is a song by the British indie rock band The Housemartins, released as the B-side to their single "Me and the Farmer."
-
C.
Sugar Lips
"Sugar Lips" is a popular jazz trumpet tune by Al Hirt that became one of his signature hits in the 1960s.
-
D.
Hot Lips
Hot Lips is the nickname of Major Margaret Houlihan, the strict yet evolving head nurse character from the M*A*S*H franchise.
-
E.
Cut My Hair
"Cut My Hair" is a reflective rock song by The Who from their 1973 concept album *Quadrophenia*, exploring themes of identity, conformity, and adolescent angst.
- 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_69e6386f0fac819081bbc29172c8965e |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 10, 2026, 1:41 p.m.