Triple
T8153948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tim Lake |
E190396
|
entity |
| Predicate | filmSettingPeriod |
P62770
|
FINISHED |
| Object | contemporary early 21st century |
—
|
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: contemporary early 21st century | Statement: [Tim Lake, filmSettingPeriod, contemporary early 21st century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmSettingPeriod Context triple: [Tim Lake, filmSettingPeriod, contemporary early 21st century]
-
A.
filmEra
Indicates the historical or stylistic period in which a film was produced or to which its cinematic style belongs.
-
B.
filmSettingDecade
Indicates the decade in which the events or primary narrative of a film are set.
-
C.
filmStudioEra
Indicates the historical period or era during which a particular film studio was active or most influential.
-
D.
appearsInTimePeriodDepicted
Indicates that something is present or occurs within the specific time period that is depicted or represented.
-
E.
historicalSettingOfFilm
chosen
Indicates that a particular historical period, event, or context serves as the setting in which a film’s story takes place.
- 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_69ca82bfeb6481909d07b91b5cf69f59 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb44d566b08190a6bb672f9c368806 |
completed | March 31, 2026, 3:51 a.m. |
| PD | Predicate disambiguation | batch_69cb36a0847c8190af9038aef78319b3 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:37 p.m.