Triple
T34895436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All of Us: The Collected Poems |
E1006418
|
entity |
| Predicate | includesPoemsFrom |
P141336
|
FINISHED |
| Object | early career of Raymond Carver |
—
|
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 Raymond Carver | Statement: [All of Us: The Collected Poems, includesPoemsFrom, early career of Raymond Carver]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesPoemsFrom Context triple: [All of Us: The Collected Poems, includesPoemsFrom, early career of Raymond Carver]
-
A.
containsPoemsFrom
chosen
Indicates that one entity includes or features poems that originate from or are authored in association with another entity.
-
B.
includesPoetsFrom
Indicates that one entity contains, features, or is composed of poets originating from another entity.
-
C.
containsPoemsBy
Indicates that one entity (such as a collection or publication) includes poems authored by another entity.
-
D.
includesPoetryCollection
Indicates that one entity contains or encompasses a poetry collection as part of its contents or components.
-
E.
containsPoem
Indicates that one entity includes or holds a poem as part of its contents.
- 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_69f76dbfe5788190ad8b64f241f470c8 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4 p.m.