Triple
T6514863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Jewish Barber |
E148229
|
entity |
| Predicate | isSilentFilmStyleCharacter |
P25521
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Jewish Barber, isSilentFilmStyleCharacter, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSilentFilmStyleCharacter Context triple: [The Jewish Barber, isSilentFilmStyleCharacter, true]
-
A.
hasFilmStyle
Indicates that a film exhibits or is characterized by a particular cinematic style or aesthetic approach.
-
B.
hasNoFilmAdaptationAsCharacter
Indicates that the subject has not appeared as a character in any film adaptation.
-
C.
doesNotFeatureCharacterDirectly
Indicates that the subject work does not include the specified character as an on-screen, on-page, or otherwise directly appearing participant in its content.
-
D.
isSoundFilm
chosen
Indicates that a film includes synchronized recorded sound as an integral part of its presentation, rather than being a silent film.
-
E.
isSilentWithMusic
Indicates that an entity remains quiet or produces no audible sound when music is playing.
- 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_69c687e68e748190baceb9298f32d3ed |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ac0bea808190aebc2905fb53eeba |
completed | March 27, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69c68ab98c78819081743e614df04e1d |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:44 p.m.