Triple
T20743048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Part of Speech |
E510492
|
entity |
| Predicate | containsPoemsFrom |
P141336
|
FINISHED |
| Object | Brodsky’s early years in exile |
—
|
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: Brodsky’s early years in exile | Statement: [A Part of Speech, containsPoemsFrom, Brodsky’s early years in exile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsPoemsFrom Context triple: [A Part of Speech, containsPoemsFrom, Brodsky’s early years in exile]
-
A.
containsPoemsBy
Indicates that one entity (such as a collection or publication) includes poems authored by another entity.
-
B.
containsPoem
Indicates that one entity includes or holds a poem as part of its contents.
-
C.
containsNumberOfPoems
Indicates that one entity includes or specifies a particular quantity of poems associated with it.
-
D.
includesPoetsFrom
Indicates that one entity contains, features, or is composed of poets originating from another entity.
-
E.
usesPoetryCollection
Indicates that one entity employs or makes use of a poetry collection in performing an action, fulfilling a function, or supporting some activity or process.
- 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_69e0b4c845e88190b4c5f3ae79291182 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c210a2c08190bd767df3188bb401 |
completed | April 21, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69e5c0509608819080cdbf47fcddfe36 |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3cbe5788190b7ace43bfdac2ef6 |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:33 p.m.