Triple
T9730702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dune film series |
E235730
|
entity |
| Predicate | periodSetting |
P302
|
FINISHED |
| Object | far future |
—
|
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: far future | Statement: [Dune film series, periodSetting, far future]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: periodSetting Context triple: [Dune film series, periodSetting, far future]
-
A.
periodProperty
Indicates a temporal characteristic or attribute associated with a specific time period or interval.
-
B.
periodizedAs
Indicates that something has been divided or organized into distinct time periods according to a particular periodization scheme.
-
C.
settingPeriodDuration
Indicates the length of time for which a particular setting or configuration remains in effect.
-
D.
timePeriod
chosen
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
-
E.
workSettingPeriod
Indicates the time period during which a particular work setting or employment context is in effect.
- 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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eb2373c81909139c7a2ff2aa541 |
completed | April 1, 2026, 10:39 p.m. |
| PD | Predicate disambiguation | batch_69cd03c6ffc88190a5e9569e19122ad5 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:21 p.m.