Triple
T8787095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elbow |
E209068
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object |
Lippy Kids
"Lippy Kids" is a reflective, nostalgic track by the English rock band Elbow, known for its evocative lyrics about youth and growing up.
|
E756865
|
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: Lippy Kids | Statement: [Elbow, notableSong, Lippy Kids]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lippy Kids Context triple: [Elbow, notableSong, Lippy Kids]
-
A.
Cookie Lips
"Cookie Lips" is a song by the indie rock supergroup Nice As Fuck, known for its minimalist style and politically tinged, lo-fi sound.
-
B.
Lolly
Lolly is a diminutive or affectionate nickname commonly used for the given name Laura.
-
C.
Vice lipsticks
Vice lipsticks is Urban Decay’s flagship lipstick range, known for its bold, highly pigmented shades and diverse finishes.
-
D.
Kylie Cosmetics
Kylie Cosmetics is a makeup and beauty brand founded by Kylie Jenner, known for its trend-setting lip kits and social media–driven marketing.
-
E.
Lollipop
"Lollipop" is a 2008 hit hip-hop single by Lil Wayne that became one of his most commercially successful and culturally influential songs.
- 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: Lippy Kids Triple: [Elbow, notableSong, Lippy Kids]
Generated description
"Lippy Kids" is a reflective, nostalgic track by the English rock band Elbow, known for its evocative lyrics about youth and growing up.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lippy Kids Target entity description: "Lippy Kids" is a reflective, nostalgic track by the English rock band Elbow, known for its evocative lyrics about youth and growing up.
-
A.
Cookie Lips
"Cookie Lips" is a song by the indie rock supergroup Nice As Fuck, known for its minimalist style and politically tinged, lo-fi sound.
-
B.
Lolly
Lolly is a diminutive or affectionate nickname commonly used for the given name Laura.
-
C.
Vice lipsticks
Vice lipsticks is Urban Decay’s flagship lipstick range, known for its bold, highly pigmented shades and diverse finishes.
-
D.
Kylie Cosmetics
Kylie Cosmetics is a makeup and beauty brand founded by Kylie Jenner, known for its trend-setting lip kits and social media–driven marketing.
-
E.
Lollipop
"Lollipop" is a 2008 hit hip-hop single by Lil Wayne that became one of his most commercially successful and culturally influential songs.
- 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_69ca836168108190bb43d3dc235c1f55 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f76f27c819087aadf768df5adbf |
completed | March 31, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf520678f48190a0af3df75df9b269 |
completed | April 3, 2026, 5:37 a.m. |
| NEDg | Description generation | batch_69cf5490df348190a31f300f0f4dae71 |
completed | April 3, 2026, 5:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf5565bc108190a283772608fd28de |
completed | April 3, 2026, 5:51 a.m. |
Created at: March 30, 2026, 6:43 p.m.