Triple
T33636665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Trial of Vivienne Ware |
E861715
|
entity |
| Predicate | timePeriodOfFilmMovement |
P26306
|
FINISHED |
| Object | pre-Code Hollywood |
—
|
NE NERFINISHED |
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: pre-Code Hollywood | Statement: [The Trial of Vivienne Ware, timePeriodOfFilmMovement, pre-Code Hollywood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriodOfFilmMovement Context triple: [The Trial of Vivienne Ware, timePeriodOfFilmMovement, pre-Code Hollywood]
-
A.
timePeriodOfFilm
Indicates the historical or fictional time period in which the events of the film are set.
-
B.
filmRuntimeEra
Indicates the historical or stylistic era associated with a film based on its runtime characteristics.
-
C.
storyTimeSpanInFilm
Indicates the duration of time that the story or narrative covers within the film.
-
D.
typicalEraOfFilmsShown
Indicates the historical time period during which the films being shown are most commonly produced or set.
-
E.
filmEra
chosen
Indicates the historical or stylistic period in which a film was produced or to which its cinematic style belongs.
- 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_69f3498280c48190bcc3494017d14234 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 1, 2026, 1:42 a.m.