Triple
T8367321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Distant Horizon |
E197162
|
entity |
| Predicate | subjectAreaOfFilms |
P22751
|
FINISHED |
| Object | apartheid |
—
|
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: apartheid | Statement: [Distant Horizon, subjectAreaOfFilms, apartheid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectAreaOfFilms Context triple: [Distant Horizon, subjectAreaOfFilms, apartheid]
-
A.
subjectOfFilm
chosen
Indicates that a person, character, or topic is the main focus or central topic depicted in a particular film.
-
B.
keyGenreFilm
Indicates that a particular genre is the primary or defining genre associated with a given film.
-
C.
filmBase
Indicates the primary location or headquarters from which a film-related entity (such as a production, company, or operation) is based or operates.
-
D.
filmType
Indicates the specific category or genre that a film belongs to.
-
E.
inFilmAndTV
Indicates that the subject appears or is featured within the context of film and television works.
- 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_69ca82f2dbe48190aba982e75a0d94de |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb808e56fc81908b5d37482f29452d |
completed | March 31, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69cb70cd04b08190ab5f72afd22a7967 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6 p.m.