Triple
T18922208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bell Rocket Belt |
E462884
|
entity |
| Predicate | notableAppearance |
P10205
|
FINISHED |
| Object | 1965 James Bond film "Thunderball" |
—
|
NE NERFINISHED |
How this triple was built (3 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: 1965 James Bond film "Thunderball" | Statement: [Bell Rocket Belt, notableAppearance, 1965 James Bond film "Thunderball"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 1965 James Bond film "Thunderball" Context triple: [Bell Rocket Belt, notableAppearance, 1965 James Bond film "Thunderball"]
-
A.
James Bond novel "Thunderball"
"Thunderball" is a James Bond spy novel by Ian Fleming, featuring 007’s battle against the criminal organization SPECTRE over a stolen nuclear warhead.
-
B.
James Bond film Octopussy
"Octopussy" is a 1983 James Bond spy film starring Roger Moore, featuring exotic locations, high-stakes espionage, and a plot involving nuclear threats and jewel smuggling.
-
C.
film "From Russia with Love"
"From Russia with Love" is a 1963 James Bond spy film starring Sean Connery, renowned for its Cold War intrigue, Istanbul setting, and status as one of the most acclaimed entries in the Bond franchise.
-
D.
James Bond novel "The Spy Who Loved Me"
"The Spy Who Loved Me" is a 1962 James Bond novel by Ian Fleming, notable for being told largely from a female protagonist’s perspective and for its later, very loosely related film adaptation.
-
E.
James Bond novel "Goldfinger"
The James Bond novel "Goldfinger" is Ian Fleming’s 1959 spy thriller in which Agent 007 investigates gold magnate Auric Goldfinger’s plot involving gold smuggling and a daring attack on Fort Knox.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 1965 James Bond film "Thunderball" Target entity description: The 1965 James Bond film "Thunderball" is an action-packed spy movie starring Sean Connery as 007, centered on a SPECTRE plot to steal nuclear warheads and blackmail the world.
-
A.
James Bond novel "Thunderball"
chosen
"Thunderball" is a James Bond spy novel by Ian Fleming, featuring 007’s battle against the criminal organization SPECTRE over a stolen nuclear warhead.
-
B.
James Bond film Octopussy
"Octopussy" is a 1983 James Bond spy film starring Roger Moore, featuring exotic locations, high-stakes espionage, and a plot involving nuclear threats and jewel smuggling.
-
C.
film "From Russia with Love"
"From Russia with Love" is a 1963 James Bond spy film starring Sean Connery, renowned for its Cold War intrigue, Istanbul setting, and status as one of the most acclaimed entries in the Bond franchise.
-
D.
James Bond novel "The Spy Who Loved Me"
"The Spy Who Loved Me" is a 1962 James Bond novel by Ian Fleming, notable for being told largely from a female protagonist’s perspective and for its later, very loosely related film adaptation.
-
E.
James Bond novel "Goldfinger"
The James Bond novel "Goldfinger" is Ian Fleming’s 1959 spy thriller in which Agent 007 investigates gold magnate Auric Goldfinger’s plot involving gold smuggling and a daring attack on Fort Knox.
- F. None of above.
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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c9b4822c8190a0aeceb4499e775e |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 10, 2026, 11:59 a.m.