Triple
T19398811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Poetry of Robert Frost (various editions) |
E485261
|
entity |
| Predicate | collectsPoemsFrom |
P32365
|
FINISHED |
| Object | multiple earlier volumes by Robert Frost |
—
|
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: multiple earlier volumes by Robert Frost | Statement: [The Poetry of Robert Frost (various editions), collectsPoemsFrom, multiple earlier volumes by Robert Frost]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collectsPoemsFrom Context triple: [The Poetry of Robert Frost (various editions), collectsPoemsFrom, multiple earlier volumes by Robert Frost]
-
A.
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.
-
B.
containsPoemsBy
chosen
Indicates that one entity (such as a collection or publication) includes poems authored by another entity.
-
C.
favoritePoet
Indicates that one entity is the poet whom another entity prefers above all other poets.
-
D.
containsPoem
Indicates that one entity includes or holds a poem as part of its contents.
-
E.
hasPoemSetIn
Indicates that a poem is set in or takes place within a particular location or setting.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62575d78881909c2cfee799859261 |
completed | April 20, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69e4fd602f008190aa9bc76ae17e4ce1 |
completed | April 19, 2026, 4:05 p.m. |
Created at: April 10, 2026, 1:36 p.m.