Triple
T36331487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Choosing: Selected Poems |
E894660
|
entity |
| Predicate | hasPoemFromPeriod |
P141336
|
FINISHED |
| Object | early career of Liz Lochhead |
—
|
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 career of Liz Lochhead | Statement: [A Choosing: Selected Poems, hasPoemFromPeriod, early career of Liz Lochhead]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPoemFromPeriod Context triple: [A Choosing: Selected Poems, hasPoemFromPeriod, early career of Liz Lochhead]
-
A.
usesPoetryFromPeriod
Indicates that one entity employs or incorporates poetry originating from a specific historical or literary period.
-
B.
containsPoemsFrom
chosen
Indicates that one entity includes or features poems that originate from or are authored in association with another entity.
-
C.
containsPoemsBy
Indicates that one entity (such as a collection or publication) includes poems authored by another entity.
-
D.
hasPoemSetIn
Indicates that a poem is set in or takes place within a particular location or setting.
-
E.
literaryPeriodOfWork
Indicates the literary period or movement to which a particular work belongs.
- 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_69f76e4dcf088190a6c3216c209cab52 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff80d9a1d88190a95b1488acd6e2e5 |
completed | May 9, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69ff802ae2dc819093a3cda42b63dcbd |
completed | May 9, 2026, 6:42 p.m. |
Created at: May 3, 2026, 4:09 p.m.