Triple
T21040849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carry On Jack |
E518317
|
entity |
| Predicate | partOfSeries |
P1761
|
FINISHED |
| Object | Carry On |
—
|
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 | Statement: [Carry On Jack, partOfSeries, Carry On]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carry On Context triple: [Carry On Jack, partOfSeries, Carry On]
-
A.
Carry On
Carry On is a music album best known for including the track "Disappearing Act."
-
B.
Carry On
"Carry On" is a pop song co-written by American songwriter Sean Douglas, best known for his work with major contemporary artists.
-
C.
Carry On
Carry On is the 2007 solo studio album by American rock musician Chris Cornell, blending alternative rock with elements of pop and soul.
-
D.
Carry On
Carry On is a novel by Rainbow Rowell that reimagines a magical chosen-one story with a focus on character-driven fantasy and queer romance.
-
E.
Carry On
chosen
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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fcefe4688190ad1bed1ef2d7a3e5 |
completed | April 21, 2026, 4:28 a.m. |
Created at: April 16, 2026, 2:15 p.m.