Triple
T38259858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riprap and Cold Mountain Poems |
E1017898
|
entity |
| Predicate | originalPoemsBy |
P32365
|
FINISHED |
| Object | Gary Snyder |
E64952
|
NE 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: Gary Snyder | Statement: [Riprap and Cold Mountain Poems, originalPoemsBy, Gary Snyder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalPoemsBy Context triple: [Riprap and Cold Mountain Poems, originalPoemsBy, Gary Snyder]
-
A.
containsPoemsFrom
Indicates that one entity includes or features poems that originate from or are authored in association with another entity.
-
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.
originalSongPoet
Indicates that a person is the poet who originally wrote the lyrics or text for a given song.
-
E.
viewsPoetryAs
Indicates that one entity regards or interprets poetry in a particular way or from a specific perspective.
- F. None of above.
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_69f76de33e4481909099fa812709bd42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41d6389c2881909bac2251310e09a8 |
completed | June 29, 2026, 2:19 a.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:30 p.m.