Triple
T20742635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Windows |
E510480
|
entity |
| Predicate | precedes |
P97
|
FINISHED |
| Object | Collected Poems |
—
|
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: Collected Poems | Statement: [High Windows, precedes, Collected Poems]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Collected Poems Context triple: [High Windows, precedes, Collected Poems]
-
A.
Collected Poems
chosen
Collected Poems is a comprehensive volume gathering the major poetic works of W. H. Auden, showcasing the range and evolution of his influential modernist verse.
-
B.
Collected Poems
Collected Poems is a widely read anthology of John Betjeman’s verse that helped cement his reputation as one of Britain’s most beloved 20th-century poets.
-
C.
Collected Poems
Collected Poems is a celebrated volume that gathers the innovative, precise, and often witty verse of modernist American poet Marianne Moore.
-
D.
Collected Poems
Collected Poems is a major anthology of Roger McGough’s poetry, showcasing his characteristic wit, wordplay, and accessible reflections on everyday life.
-
E.
Collected Poems
Collected Poems is a volume that brings together the poetry of English poet Hugo Williams, showcasing his distinctive, autobiographical and often wryly observant style.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4c845e88190b4c5f3ae79291182 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c210a2c08190bd767df3188bb401 |
completed | April 21, 2026, 12:17 a.m. |
Created at: April 16, 2026, 12:33 p.m.