Triple
T24249687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poems (1833) |
E603484
|
entity |
| Predicate | associatedWithAuthorHeritage |
P155332
|
FINISHED |
| Object | Lake Poets |
—
|
NE NERFINISHED |
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: Lake Poets | Statement: [Poems (1833), associatedWithAuthorHeritage, Lake Poets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithAuthorHeritage Context triple: [Poems (1833), associatedWithAuthorHeritage, Lake Poets]
-
A.
associatedWithArtistHeritage
Indicates a relationship where an entity is connected to, derived from, or meaningfully linked with an artist’s cultural, ethnic, or historical heritage.
-
B.
associatedWithAuthorWork
Indicates a relationship where an author is connected to a work they created, contributed to, or are otherwise credited for.
-
C.
associatedWithAuthorType
Indicates that one entity has a specified type of association or role in relation to an author.
-
D.
placeAssociatedWithAuthor
Indicates a relationship where a place is connected to an author, such as by birth, residence, work, or significant activity.
-
E.
associatedWithAuthorTheme
Indicates a relationship where an author is linked to, or characterized by, a particular theme in their work or thought.
- F. None of above. chosen
Provenance (4 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_69e29540da0481909a38bdae315b7a02 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28b889798819086769788f188c9eb |
completed | April 29, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f1c6d4e99081909f61899eccafb73e |
completed | April 29, 2026, 8:52 a.m. |
Created at: April 18, 2026, 12:04 a.m.