Triple
T19535451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trench |
E488755
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Cut My Lip
"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.
|
E1380995
|
NE FINISHED |
How this triple was built (4 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: [Trench, hasPart, Cut My Lip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cut My Lip Context triple: [Trench, hasPart, Cut My Lip]
-
A.
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."
-
B.
Sugar Lips
"Sugar Lips" is a popular jazz trumpet tune by Al Hirt that became one of his signature hits in the 1960s.
-
C.
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.
-
D.
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.
-
E.
Cutting It
Cutting It is a British television drama series centered on the personal and professional lives of rival hairdressing salon owners in Manchester.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cut My Lip Triple: [Trench, hasPart, Cut My Lip]
Generated description
"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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cut My Lip Target entity description: "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.
-
A.
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."
-
B.
Sugar Lips
"Sugar Lips" is a popular jazz trumpet tune by Al Hirt that became one of his signature hits in the 1960s.
-
C.
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.
-
D.
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.
-
E.
Cutting It
Cutting It is a British television drama series centered on the personal and professional lives of rival hairdressing salon owners in Manchester.
- F. None of above. chosen
Provenance (5 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_69e6386ddc208190962195b8aa568bed |
completed | April 20, 2026, 2:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a074e7f3a9c819083931b6c20dd47ba |
completed | May 15, 2026, 4:49 p.m. |
| NEDg | Description generation | batch_6a074ef599a88190a1edd95887a0c092 |
completed | May 15, 2026, 4:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a074fa5d4ec81908900ebf532408239 |
completed | May 15, 2026, 4:53 p.m. |
Created at: April 10, 2026, 1:41 p.m.