Triple
T11466348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saving Mr. Banks (film score) |
E271789
|
entity |
| Predicate | settingOfFilm |
P52439
|
FINISHED |
| Object | 1960s Hollywood |
—
|
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: 1960s Hollywood | Statement: [Saving Mr. Banks (film score), settingOfFilm, 1960s Hollywood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfFilm Context triple: [Saving Mr. Banks (film score), settingOfFilm, 1960s Hollywood]
-
A.
filmSetting
chosen
Indicates the place, time, or environment in which the events of a film are set or take place.
-
B.
setting
Indicates the place, time, or context in which an event, action, or interaction occurs.
-
C.
filmicFunction
Indicates the role or purpose that something serves within the structure, style, or narrative function of a film.
-
D.
filmSettingTheater
Indicates that a film’s setting or key scenes take place in a theater (such as a cinema or playhouse).
-
E.
studioSystemFilm
Indicates that a film was produced, distributed, or otherwise created under the control or framework of a particular studio system.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f5eb988190b309b8e309f6d1a5 |
completed | April 9, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69d80867ff248190bb157fa9e355353b |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:35 p.m.