Triple
T19545198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chips Rafferty |
E489026
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Walk into Paradise
Walk into Paradise is a 1956 Australian–French adventure film starring Chips Rafferty as a patrol officer in Papua New Guinea.
|
E1383975
|
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: Walk into Paradise | Statement: [Chips Rafferty, notableWork, Walk into Paradise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walk into Paradise Context triple: [Chips Rafferty, notableWork, Walk into Paradise]
-
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.
Paradise Is Here
"Paradise Is Here" is a song featured on Tina Turner's 1986 album "Break Every Rule."
-
C.
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.
-
D.
Paradise
Paradise is a section of the post-apocalyptic science fiction novel "The Rising," depicting a seemingly idyllic but ultimately perilous refuge within its dystopian world.
-
E.
Paradise
Paradise is a 2013 comedy-drama film written and directed by Diablo Cody, marking her directorial debut and following a sheltered young woman who radically changes her life after surviving a plane crash.
- 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: Walk into Paradise Triple: [Chips Rafferty, notableWork, Walk into Paradise]
Generated description
Walk into Paradise is a 1956 Australian–French adventure film starring Chips Rafferty as a patrol officer in Papua New Guinea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Walk into Paradise Target entity description: Walk into Paradise is a 1956 Australian–French adventure film starring Chips Rafferty as a patrol officer in Papua New Guinea.
-
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.
Paradise Is Here
"Paradise Is Here" is a song featured on Tina Turner's 1986 album "Break Every Rule."
-
C.
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.
-
D.
Paradise
Paradise is a section of the post-apocalyptic science fiction novel "The Rising," depicting a seemingly idyllic but ultimately perilous refuge within its dystopian world.
-
E.
Paradise
Paradise is a 2013 comedy-drama film written and directed by Diablo Cody, marking her directorial debut and following a sheltered young woman who radically changes her life after surviving a plane crash.
- 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_69e63875cf40819088db7c7969be1e3d |
completed | April 20, 2026, 2:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07577880048190bb182c9fe3856254 |
completed | May 15, 2026, 5:27 p.m. |
| NEDg | Description generation | batch_6a07583fc26481908bd2f00c19f3b4cd |
completed | May 15, 2026, 5:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07594a23ac81908807df4605555d3f |
completed | May 15, 2026, 5:35 p.m. |
Created at: April 10, 2026, 1:41 p.m.