Triple
T19463657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walt Disney Productions |
E486937
|
entity |
| Predicate | firstFeatureAnimatedFilmReleaseDate |
P65899
|
FINISHED |
| Object | 1937-12-21 |
—
|
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: 1937-12-21 | Statement: [Walt Disney Productions, firstFeatureAnimatedFilmReleaseDate, 1937-12-21]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstFeatureAnimatedFilmReleaseDate Context triple: [Walt Disney Productions, firstFeatureAnimatedFilmReleaseDate, 1937-12-21]
-
A.
firstFeatureFilmRelease
chosen
Indicates the date or event of an entity’s debut feature-length film being publicly released.
-
B.
firstUsedInFeatureFilm
Indicates that something (such as a technique, character, or element) made its earliest appearance or application in a particular feature film.
-
C.
firstStageAdaptationYear
Indicates the year in which a work was first adapted into a stage production.
-
D.
yearOfFilmAppearance
Indicates the specific year in which a film appearance by an entity took place.
-
E.
soundFilmDebutDate
Indicates the date on which an entity first appeared in a sound film.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633cf95988190b13b2153e67d0cac |
completed | April 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7499a4819082bec0be8afba35c |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:38 p.m.