Triple
T7643263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bluddle-Uddle-Um-Dum (The Dwarf's Washing Song) |
E173059
|
entity |
| Predicate | filmTypeContext |
P77497
|
FINISHED |
| Object | animated feature 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 feature film | Statement: [Bluddle-Uddle-Um-Dum (The Dwarf's Washing Song), filmTypeContext, animated feature film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmTypeContext Context triple: [Bluddle-Uddle-Um-Dum (The Dwarf's Washing Song), filmTypeContext, animated feature film]
-
A.
filmType
Indicates the specific category or genre that a film belongs to.
-
B.
filmSerialType
Indicates the type or category of a film serial to which a particular film or episode belongs.
-
C.
filmMedium
Indicates the physical or technical format (such as film stock, digital, or video) in which a film is recorded or presented.
-
D.
filmBase
Indicates the primary location or headquarters from which a film-related entity (such as a production, company, or operation) is based or operates.
-
E.
distributedFilmType
Indicates that a film was distributed in a particular format or category of distribution.
- F. None of above. chosen
Provenance (4 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_69c6995360188190968ee57b72a1627f |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6faef96908190a7724b204f9d8c9e |
completed | March 27, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e8cadc8190b7977fcd213954dd |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f574d8a8819095749518dad13791 |
completed | March 27, 2026, 9:24 p.m. |
Created at: March 27, 2026, 3:58 p.m.