Triple
T10890942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Chambers |
E257170
|
entity |
| Predicate | timePeriodOfDepictedLife |
P93599
|
FINISHED |
| Object | 1950s-inspired simulated environment |
—
|
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: 1950s-inspired simulated environment | Statement: [Jack Chambers, timePeriodOfDepictedLife, 1950s-inspired simulated environment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriodOfDepictedLife Context triple: [Jack Chambers, timePeriodOfDepictedLife, 1950s-inspired simulated environment]
-
A.
lifePeriod
Indicates the span of time during which an entity exists, is active, or is valid.
-
B.
depictionOfTime
Indicates that one entity visually represents or symbolizes a specific moment, period, or progression of time associated with another entity.
-
C.
chronologicalRange
Indicates the temporal span or period over which something occurs, is valid, or is relevant.
-
D.
settingDepictedPeriod
chosen
Indicates the historical or temporal period in which the setting of something (e.g., a work or scene) is depicted.
-
E.
livedDuring
Indicates that the subject existed or was alive at some point within the time period or lifespan associated with the object.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7520550c4819081296546c8f534f1 |
completed | April 9, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69d70d3943c881908895397eccc3e415 |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:21 p.m.