Triple
T7642827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Prince (Snow White and the Seven Dwarfs) |
E173048
|
entity |
| Predicate | filmGenreOfFirstAppearance |
P21332
|
FINISHED |
| Object | animated musical fantasy 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 musical fantasy film | Statement: [The Prince (Snow White and the Seven Dwarfs), filmGenreOfFirstAppearance, animated musical fantasy film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmGenreOfFirstAppearance Context triple: [The Prince (Snow White and the Seven Dwarfs), filmGenreOfFirstAppearance, animated musical fantasy film]
-
A.
genreOfAppearance
chosen
Indicates the genre or type of creative work in which an entity appears.
-
B.
filmSeriesDebutYear
Indicates the calendar year in which a film series was first released or made its initial debut.
-
C.
filmDebut
Indicates the first film in which an entity (typically a person) appeared or participated, marking their initial entry into film work.
-
D.
filmType
Indicates the specific category or genre that a film belongs to.
-
E.
distributedFilmGenre
Indicates that an entity (such as a company or distributor) distributed a film belonging to a particular genre.
- 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_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. |
Created at: March 27, 2026, 3:58 p.m.