Triple
T19231970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lotus Esprit (Series 1) |
E480892
|
entity |
| Predicate | filmCarNickname |
P44380
|
FINISHED |
| Object | Wet Nellie |
—
|
NE NERFINISHED |
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: Wet Nellie | Statement: [Lotus Esprit (Series 1), filmCarNickname, Wet Nellie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wet Nellie Context triple: [Lotus Esprit (Series 1), filmCarNickname, Wet Nellie]
-
A.
Nene Washes
Nene Washes is a nationally important wetland nature reserve and floodplain in Cambridgeshire, England, renowned for its rich birdlife and seasonal flooding.
-
B.
Dilly
Dilly is the nickname of British classicist and World War II codebreaker Alfred Dillwyn "Dilly" Knox, known for his work at Bletchley Park.
-
C.
Plum Nellie
Plum Nellie is a soul-jazz instrumental track featured on the album "Soul Dressing" by Booker T. & the M.G.'s.
-
D.
Wishing Well
Wishing Well is a popular underground pool feature in Luray Caverns where visitors toss coins while making wishes, with the collected money often donated to charity.
-
E.
Wishing Well
"Wishing Well" is a posthumously released emo-rap song by Juice WRLD that reflects on his struggles with addiction and mental health.
- 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: Wet Nellie Target entity description: Wet Nellie is the famous submarine-converted Lotus Esprit sports car featured in the James Bond film "The Spy Who Loved Me."
-
A.
Nene Washes
Nene Washes is a nationally important wetland nature reserve and floodplain in Cambridgeshire, England, renowned for its rich birdlife and seasonal flooding.
-
B.
Dilly
Dilly is the nickname of British classicist and World War II codebreaker Alfred Dillwyn "Dilly" Knox, known for his work at Bletchley Park.
-
C.
Plum Nellie
Plum Nellie is a soul-jazz instrumental track featured on the album "Soul Dressing" by Booker T. & the M.G.'s.
-
D.
Wishing Well
Wishing Well is a popular underground pool feature in Luray Caverns where visitors toss coins while making wishes, with the collected money often donated to charity.
-
E.
Wishing Well
"Wishing Well" is a posthumously released emo-rap song by Juice WRLD that reflects on his struggles with addiction and mental health.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmCarNickname Context triple: [Lotus Esprit (Series 1), filmCarNickname, Wet Nellie]
-
A.
movementAlsoKnownAs
Indicates that a movement is referred to by an alternative name or alias.
-
B.
filmAssociatedWith
Indicates a general relationship or connection between a film and another entity, such as a person, organization, event, or work.
-
C.
givenNameInFilm
Indicates that a person is referred to by a particular given (first) name within the context of a specific film.
-
D.
notableCar
chosen
Indicates that the subject is a car recognized for its significance, prominence, or special interest (e.g., historically, culturally, or technically).
-
E.
vehicleTheme
Indicates that an entity serves as the vehicle or means through which another entity, event, or action is carried out or expressed.
- F. None of above.
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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa9db56081908f50d318d7fc9eaa |
completed | April 20, 2026, 10:06 a.m. |
| PD | Predicate disambiguation | batch_69e4dcfae6f081909cc173cf71a5005c |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:25 p.m.