Triple
T20280100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klaatu |
E503115
|
entity |
| Predicate | filmEraContext |
P26306
|
FINISHED |
| Object | Cold War science fiction |
—
|
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: Cold War science fiction | Statement: [Klaatu, filmEraContext, Cold War science fiction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmEraContext Context triple: [Klaatu, filmEraContext, Cold War science fiction]
-
A.
filmEra
chosen
Indicates the historical or stylistic period in which a film was produced or to which its cinematic style belongs.
-
B.
filmStudioEra
Indicates the historical period or era during which a particular film studio was active or most influential.
-
C.
typicalEraOfFilmsShown
Indicates the historical time period during which the films being shown are most commonly produced or set.
-
D.
filmReleaseContext
Indicates the circumstances or setting (such as time, place, or format) under which a film is released.
-
E.
filmSettingDecade
Indicates the decade in which the events or primary narrative of a film are set.
- 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_69e0b4b0e79c8190bd61f22ef1329fa8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6768ddfd0819098b2cc7fed0f4fe2 |
completed | April 20, 2026, 6:55 p.m. |
| PD | Predicate disambiguation | batch_69e55b1e5e1c8190ba8a5544b1db9e1d |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 16, 2026, 10:36 a.m.