Triple
T20408111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Under My Skin |
E500522
|
entity |
| Predicate | artist |
P184
|
FINISHED |
| Object | Avril Lavigne |
—
|
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: Avril Lavigne | Statement: [Under My Skin, artist, Avril Lavigne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avril Lavigne Context triple: [Under My Skin, artist, Avril Lavigne]
-
A.
Avril Lavigne
chosen
Avril Lavigne is a Canadian pop-punk singer-songwriter known for early-2000s hits like "Complicated" and "Sk8er Boi" and her influential rebellious teen image.
-
B.
Michelle Lavigne
Michelle Lavigne is the sister of Canadian pop-punk singer and songwriter Avril Lavigne.
-
C.
Paula Lavigne
Paula Lavigne is a Brazilian film and television producer and former actress, widely known for her long-term personal and professional partnership with musician Caetano Veloso.
-
D.
Alanis Morissette
Alanis Morissette is a Canadian singer-songwriter and actress best known for her emotionally intense, confessional rock music and her landmark 1995 album "Jagged Little Pill."
-
E.
Franck Lavigne
Franck Lavigne is a French volcanologist and geographer known for his research on major explosive eruptions and their environmental and climatic impacts.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a3d03ac81908f37b907ccbb5088 |
completed | April 20, 2026, 7:10 p.m. |
Created at: April 16, 2026, 11:29 a.m.