Triple
T21443566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Babbalanja |
E529005
|
entity |
| Predicate | literaryPeriodOfAuthor |
P61939
|
FINISHED |
| Object | 19th century American literature |
—
|
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: 19th century American literature | Statement: [Babbalanja, literaryPeriodOfAuthor, 19th century American literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: literaryPeriodOfAuthor Context triple: [Babbalanja, literaryPeriodOfAuthor, 19th century American literature]
-
A.
literaryPeriodOfWork
Indicates the literary period or movement to which a particular work belongs.
-
B.
eraOfAuthor
chosen
Indicates the historical time period or era during which an author lived or produced their work.
-
C.
literaryAuthor
Indicates that one entity is the author or writer of a literary work represented by the other entity.
-
D.
famousWriterAssociated
Indicates a relationship where a well-known or renowned writer is connected or linked to a particular entity (such as a work, place, event, or organization).
-
E.
yearOfAuthorDeathRelation
Indicates the specific year in which the referenced author died.
- 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_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b7055d148190ae3b52e10abd8fd2 |
completed | April 22, 2026, 11:54 a.m. |
| PD | Predicate disambiguation | batch_69e631df1b38819088d3604854e697b4 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:05 p.m.