Triple
T7874954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kipps (stage adaptation) |
E182826
|
entity |
| Predicate | sourceWorkPublicationEra |
P63537
|
FINISHED |
| Object | early 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: early 20th century | Statement: [Kipps (stage adaptation), sourceWorkPublicationEra, early 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sourceWorkPublicationEra Context triple: [Kipps (stage adaptation), sourceWorkPublicationEra, early 20th century]
-
A.
periodOfOriginOfSourceWork
chosen
Indicates the historical time period during which the original source work was created or first came into existence.
-
B.
firstWorkPublicationCentury
Indicates the century in which an entity’s first work was originally published.
-
C.
eraOfAuthor
Indicates the historical time period or era during which an author lived or produced their work.
-
D.
partOfEra
Indicates that one entity exists as a temporal segment or component within the duration or scope of a larger historical era.
-
E.
publicationCentury
Indicates the century during which a work was published.
- 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_69ca828a17248190b46defe758bc5ad3 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39a961188190b2f12f8fe5d66641 |
completed | March 31, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69cae928e1b88190b0620f4c4f03bc7d |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:56 p.m.