Triple
T15277789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colin Morris-Jones |
E365187
|
entity |
| Predicate | storylinePeriod |
P93599
|
FINISHED |
| Object | 1980s |
—
|
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: 1980s | Statement: [Colin Morris-Jones, storylinePeriod, 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: storylinePeriod Context triple: [Colin Morris-Jones, storylinePeriod, 1980s]
-
A.
storyline
Indicates that one entity serves as the narrative plot or sequence of events associated with another entity.
-
B.
chroniclesPeriodFrom
Indicates that something documents or records events starting from a specified point in time or historical period.
-
C.
showsTimePeriod
Indicates that one entity presents or displays a specific span or interval of time associated with another entity.
-
D.
storyboardedBy
Indicates that a visual narrative work (such as a film, animation, or sequence) has its scenes or shots planned and illustrated by a specific storyboard artist or creator.
-
E.
settingDepictedPeriod
chosen
Indicates the historical or temporal period in which the setting of something (e.g., a work or scene) is depicted.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00953bc848190b83919f39d5ee37b |
completed | April 15, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69deca90739081909bd1b797cdb8af2b |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:14 a.m.