Triple
T32902361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Act I Prelude |
E841644
|
entity |
| Predicate | parentWorkSettingPeriod |
P32393
|
FINISHED |
| Object | 16th 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: 16th century | Statement: [Act I Prelude, parentWorkSettingPeriod, 16th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentWorkSettingPeriod Context triple: [Act I Prelude, parentWorkSettingPeriod, 16th century]
-
A.
workSettingPeriod
chosen
Indicates the time period during which a particular work setting or employment context is in effect.
-
B.
workPeriod
Indicates the span of time during which an entity is engaged in a particular work or employment activity.
-
C.
timePeriodOfWorks
Indicates the span of time during which the associated works were created, produced, or active.
-
D.
containsWorkFromPeriod
Indicates that something includes or features work that originates from a specified historical or temporal period.
-
E.
partOfWorkPeriod
Indicates that a specific time span is contained within, and belongs to, a larger defined work 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_69f34946a5208190bbd79f0fec4323bd |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd37b695c88190855801626f91c4cd |
completed | May 8, 2026, 1:09 a.m. |
| PD | Predicate disambiguation | batch_69fd374cccf08190a230e87164af5938 |
completed | May 8, 2026, 1:07 a.m. |
Created at: May 1, 2026, 1:19 a.m.