Triple
T976102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kerplunk |
E21055
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Welcome to Paradise |
E114520
|
NE FINISHED |
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: Welcome to Paradise | Statement: [Kerplunk, hasPart, Welcome to Paradise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Welcome to Paradise Context triple: [Kerplunk, hasPart, Welcome to Paradise]
-
A.
Welcome to Paradise
chosen
"Welcome to Paradise" is a popular punk rock song by Green Day, best known from their breakthrough 1994 album "Dookie."
-
B.
Paradise
"Paradise" is a 1997 novel by Nobel Prize–winning author Toni Morrison that explores race, gender, community, and violence in an all-Black town in Oklahoma.
-
C.
Town of Paradise
The Town of Paradise is a small Northern California community in the Sierra Nevada foothills, widely known for being devastated by the 2018 Camp Fire.
-
D.
Fool's Paradise
Fool's Paradise is a 2023 satirical comedy film that marks Charlie Day's feature directorial debut, following a mute man who becomes an accidental Hollywood star.
-
E.
Paradise Bay
Paradise Bay is a scenic natural harbor on the Antarctic Peninsula known for its dramatic ice-clad mountains, glaciers, and use as a site for research stations and expedition cruises.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a493c2b62c8190b616351789ec47f8 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b46234c88190b2bfc9cafe59d7f7 |
completed | March 1, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac258909a88190b597a72cd6c0fa87 |
completed | March 7, 2026, 1:18 p.m. |
Created at: March 1, 2026, 7:40 p.m.