Triple
T18760811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paradise series |
E458763
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Paradise 6
Paradise 6 is an installment in the Paradise series, continuing its overarching narrative and themes within that fictional universe.
|
E1342119
|
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: Paradise 6 | Statement: [Paradise series, hasPart, Paradise 6]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paradise 6 Context triple: [Paradise series, hasPart, Paradise 6]
-
A.
Welcome to Paradise
"Welcome to Paradise" is a popular punk rock song by Green Day, best known from their breakthrough 1994 album "Dookie."
-
B.
The Paradise City
"The Paradise City" is the official motto of Northampton, Massachusetts, reflecting its reputation for scenic beauty, vibrant culture, and high quality of life.
-
C.
Paradise
Paradise is the eternal, blissful abode in the hereafter promised by Allah to the righteous in Islamic belief.
-
D.
Paradise
Paradise is a photographic series by German artist Thomas Struth that features large-scale, detailed images of lush, unspoiled natural landscapes.
-
E.
Paradise
Paradise is a film distribution company known for handling the release of the movie "Two Women."
- 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: Paradise 6 Triple: [Paradise series, hasPart, Paradise 6]
Generated description
Paradise 6 is an installment in the Paradise series, continuing its overarching narrative and themes within that fictional universe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paradise 6 Target entity description: Paradise 6 is an installment in the Paradise series, continuing its overarching narrative and themes within that fictional universe.
-
A.
Welcome to Paradise
"Welcome to Paradise" is a popular punk rock song by Green Day, best known from their breakthrough 1994 album "Dookie."
-
B.
The Paradise City
"The Paradise City" is the official motto of Northampton, Massachusetts, reflecting its reputation for scenic beauty, vibrant culture, and high quality of life.
-
C.
Paradise
Paradise is the eternal, blissful abode in the hereafter promised by Allah to the righteous in Islamic belief.
-
D.
Paradise
Paradise is a photographic series by German artist Thomas Struth that features large-scale, detailed images of lush, unspoiled natural landscapes.
-
E.
Paradise
Paradise is a film distribution company known for handling the release of the movie "Two Women."
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d7ecca881909d6c262837b621b3 |
completed | April 20, 2026, 2:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a053d3e4f048190b72ec4ed1dec6c55 |
completed | May 14, 2026, 3:10 a.m. |
| NEDg | Description generation | batch_6a053f3c45308190a87170c5d54ff3cd |
completed | May 14, 2026, 3:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a053fd358a08190a1cd97c02f0e814e |
completed | May 14, 2026, 3:21 a.m. |
Created at: April 10, 2026, 11:52 a.m.