Triple
T18000588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brand New Day |
E430615
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Kipper |
—
|
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: Kipper | Statement: [Brand New Day, producer, Kipper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kipper Context triple: [Brand New Day, producer, Kipper]
-
A.
Kipper
chosen
Kipper is a British musician and record producer best known for his long-term collaboration with Sting, contributing to several of the artist’s acclaimed albums.
-
B.
Kipper the Dog
Kipper the Dog is a popular British children's book and animated television character, a friendly, easygoing dog whose gentle adventures are aimed at preschool audiences.
-
C.
Jip
Jip is a central character in the British cult film "Human Traffic," known for his introspective narration and exploration of youth culture and clubbing in late-1990s Cardiff.
-
D.
Jip
Jip is the loyal and sharp-eared dog companion of Doctor Dolittle in Hugh Lofting’s classic children’s book series.
-
E.
Dipsy
Dipsy is one of the four colorful, toddler-like characters in the British children's television series "Teletubbies," recognizable by his green color and straight antenna.
- 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b3e82ca48190aeb53e03c95ef223 |
completed | April 19, 2026, 10:52 a.m. |
Created at: April 10, 2026, 10:23 a.m.