Triple
T33119444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maisie Brumble |
E847552
|
entity |
| Predicate | workTypeOfAppearsIn |
P115247
|
FINISHED |
| Object | 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: animated film | Statement: [Maisie Brumble, workTypeOfAppearsIn, animated film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workTypeOfAppearsIn Context triple: [Maisie Brumble, workTypeOfAppearsIn, animated film]
-
A.
portrayedInWorkType
chosen
Indicates that an entity is depicted or represented within a work of a specified type (such as a film, book, painting, or other creative medium).
-
B.
portraysInWork
Indicates that one entity depicts, represents, or plays the role of another entity within a specific creative work.
-
C.
workFilmType
Indicates the type or category of film associated with a particular work.
-
D.
developerOfWorkAppearingIn
Indicates that one entity is the creator or developer of a work in which another entity appears or is featured.
-
E.
workTypeContributedTo
Indicates that an entity contributed to the creation, development, or production of a particular type of work.
- 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_69f3495751a081909850af5843da40dc |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:27 a.m.