Triple
T19872262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kangaroo Jack |
E477546
|
entity |
| Predicate | sequelType |
P46331
|
FINISHED |
| Object | direct-to-video animated film |
—
|
LITERAL FINISHED |
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: direct-to-video animated film | Statement: [Kangaroo Jack, sequelType, direct-to-video animated film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sequelType Context triple: [Kangaroo Jack, sequelType, direct-to-video animated film]
-
A.
hasSequelType
Indicates that one work has a sequel of a specified type or category in relation to another work.
-
B.
sequelDirected
Indicates that one work is a sequel to another and was directed by the same director or a specific director associated with that sequel relationship.
-
C.
sequelGenreOfWork
Indicates that a work is a sequel belonging to the same or a specified genre as another work.
-
D.
sequelPlatform
Indicates that one platform is a follow-up or successor to another platform in a series or progression.
-
E.
sequelWorkType
chosen
Indicates that the related work is a sequel and specifies the type or category of that sequel relationship between the works.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658d826f88190be04188997952d1b |
completed | April 20, 2026, 4:48 p.m. |
| PD | Predicate disambiguation | batch_69e537e8c4e481909fe95d795b4864e7 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:51 p.m.