Triple
T21113095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carry On |
E520220
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Carry On Cowboy |
—
|
NE NERFINISHED |
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: Carry On Cowboy | Statement: [Carry On, hasPart, Carry On Cowboy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carry On Cowboy Context triple: [Carry On, hasPart, Carry On Cowboy]
-
A.
Carry On Cowboy
chosen
Carry On Cowboy is a 1965 British comedy Western film in the long-running "Carry On" series, parodying Hollywood cowboy movies with slapstick humor and innuendo.
-
B.
Carry On Abroad
Carry On Abroad is a 1972 British comedy film in the long-running "Carry On" series, centered on a chaotic package holiday to a fictional Mediterranean resort.
-
C.
Carry On
"Carry On" is a 1970 rock song by Crosby, Stills, Nash & Young that opens their album "Déjà Vu" and is known for its intricate harmonies and dynamic shifts.
-
D.
Carry On
"Carry On" is a pop song co-written by American songwriter Sean Douglas, best known for his work with major contemporary artists.
-
E.
Carry On
Carry On is a long-running British comedy film series known for its ensemble cast, slapstick humor, and innuendo-laden parodies of various genres and institutions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0b509a318819092fbbcb21d1fe603 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72103b3888190a19e9a40f01fb439 |
completed | April 21, 2026, 7:02 a.m. |
Created at: April 16, 2026, 2:54 p.m.