Triple
T4623293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avanti! |
E101035
|
entity |
| Predicate | hasDirectorStyle |
P41012
|
FINISHED |
| Object | Billy Wilder’s later-period bittersweet tone |
—
|
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: Billy Wilder’s later-period bittersweet tone | Statement: [Avanti!, hasDirectorStyle, Billy Wilder’s later-period bittersweet tone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDirectorStyle Context triple: [Avanti!, hasDirectorStyle, Billy Wilder’s later-period bittersweet tone]
-
A.
hasFilmStyle
chosen
Indicates that a film exhibits or is characterized by a particular cinematic style or aesthetic approach.
-
B.
hasArtDirector
Indicates that an entity has a specific person or organization serving as its art director.
-
C.
hasDirectorTitle
Indicates that an entity holds or is associated with a specific director-level job title or designation.
-
D.
typicalDirector
Indicates that the subject is a director who is characteristic or representative of the usual or standard type for the given context.
-
E.
passingStyle
Indicates the manner or technique by which something (typically a ball or object) is passed from one entity to another.
- 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_69bd43d0497c8190ac23c65c5804846a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a053d38819097b3ecbc06aa6e4d |
completed | March 20, 2026, 2:30 p.m. |
| PD | Predicate disambiguation | batch_69bd5231db7c8190b38d4fdbad8bf842 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:12 p.m.