Triple
T31892962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Some Contemporary Poets |
E814196
|
entity |
| Predicate | timeOfPoetsRepresented |
P137137
|
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: [Some Contemporary Poets, timeOfPoetsRepresented, early 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfPoetsRepresented Context triple: [Some Contemporary Poets, timeOfPoetsRepresented, early 20th century]
-
A.
numberOfPoets
Indicates the quantity or count of poets associated with a given entity or context.
-
B.
timeSpanOfPoems
chosen
Indicates the temporal duration or period over which the poems occur, are set, or were created.
-
C.
usesPoetryFromPeriod
Indicates that one entity employs or incorporates poetry originating from a specific historical or literary period.
-
D.
numberOfPrimaryPoets
Indicates the count of primary poets associated with a given entity or context.
-
E.
includesPoetsFrom
Indicates that one entity contains, features, or is composed of poets originating from another entity.
- 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_69f348ef817481908440e2250319bcc8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fbc9d1dba881908c399b8e1dc13ce2 |
completed | May 6, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
Created at: April 30, 2026, 11:58 p.m.