Triple
T37223129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bosko |
E922937
|
entity |
| Predicate | shortFilmMedium |
P187483
|
FINISHED |
| Object | theatrical animated shorts |
—
|
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: theatrical animated shorts | Statement: [Bosko, shortFilmMedium, theatrical animated shorts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shortFilmMedium Context triple: [Bosko, shortFilmMedium, theatrical animated shorts]
-
A.
shortFilmType
chosen
Indicates that the subject is classified as a particular type or category of short film.
-
B.
shortFilmComponent
Indicates that one entity is a component, segment, or part of a short film represented by the other entity.
-
C.
shortFilmLead
Indicates that an entity serves as the leading performer or principal role in a particular short film.
-
D.
notableShortFilm
Indicates that the subject is a short film that is recognized as notable or significant in some meaningful way.
-
E.
hasShortFilmLength
Indicates that an entity has a duration characteristic of a short film, typically below a standard feature-length runtime.
- 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_69f76ea7f0008190b31b8e30f3d05a71 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:15 p.m.