Triple
T32002158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Call of the North |
E817159
|
entity |
| Predicate | hasFilmIndustryContext |
P101250
|
FINISHED |
| Object | early Paramount feature |
—
|
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: early Paramount feature | Statement: [The Call of the North, hasFilmIndustryContext, early Paramount feature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFilmIndustryContext Context triple: [The Call of the North, hasFilmIndustryContext, early Paramount feature]
-
A.
hasFilmCareer
Indicates that an entity has been professionally involved in the film industry as a career.
-
B.
originatesInFilmIndustry
chosen
Indicates that something has its source, development, or primary origin within the film industry.
-
C.
hasMediaIndustry
Indicates that an entity is involved in, associated with, or operates within the media industry.
-
D.
sangForFilmIndustry
Indicates that a person performed singing specifically for use in the film industry, such as in movies or film soundtracks.
-
E.
hasRelativeInEntertainmentIndustry
Indicates that one entity has a family member who works in the entertainment industry.
- 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_69f348f8ce388190ae84376b1f348f12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69feafa1ba0081909013800b85a9f613 |
completed | May 9, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69feae58d62c81909d031f3df8992883 |
completed | May 9, 2026, 3:47 a.m. |
Created at: May 1, 2026, 12:14 a.m.