Triple
T31076068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Hart |
E791963
|
entity |
| Predicate | primaryTimePeriodOfStories |
P94706
|
FINISHED |
| Object | late 20th 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: late 20th century | Statement: [Jonathan Hart, primaryTimePeriodOfStories, late 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryTimePeriodOfStories Context triple: [Jonathan Hart, primaryTimePeriodOfStories, late 20th century]
-
A.
timePeriodOfPrimaryStories
chosen
Indicates the time period during which the primary stories or main narrative events of something (e.g., a work or series) take place.
-
B.
primaryStoryThemes
Indicates the main recurring ideas or motifs that characterize and unify a story’s narrative.
-
C.
publicationYearOfStories
Indicates the year in which the referenced stories were published.
-
D.
settingOfPrimaryStories
Indicates the primary location or environment in which the main stories or narratives about an entity take place.
-
E.
majorStoriesPublishedIn
Indicates that major or significant news stories were published in a particular publication, edition, or time period.
- 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_69f224ccdbbc81909b0cdb4cc2d70c7a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e5174c8190a0bdde7e381b7624 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 9:02 p.m.