Triple
T18822058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daisy Fay |
E460285
|
entity |
| Predicate | storySetInPeriod |
P93599
|
FINISHED |
| Object | mid-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: mid-20th century | Statement: [Daisy Fay, storySetInPeriod, mid-20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: storySetInPeriod Context triple: [Daisy Fay, storySetInPeriod, mid-20th century]
-
A.
settingDepictedPeriod
chosen
Indicates the historical or temporal period in which the setting of something (e.g., a work or scene) is depicted.
-
B.
locatedInHistoricPeriod
Indicates that an entity exists, occurs, or is situated within a specific historic period or era.
-
C.
chroniclesPeriodFrom
Indicates that something documents or records events starting from a specified point in time or historical period.
-
D.
fictionalEra
Indicates the time period or age within a fictional or imaginary setting in which an entity exists or an event occurs.
-
E.
occupationPeriod
Indicates the time span during which an entity holds or held a particular occupation or role.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a6ba90988190a93e1c2fa23b3d1d |
completed | April 20, 2026, 4:08 a.m. |
| PD | Predicate disambiguation | batch_69e48d1b10ec8190985c6fb5766ff981 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:55 a.m.