Triple
T23568778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | After the Sea-Ship |
E580041
|
entity |
| Predicate | associatedWithAuthorCollection |
P56391
|
FINISHED |
| Object | Leaves of Grass |
—
|
NE NERFINISHED |
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: Leaves of Grass | Statement: [After the Sea-Ship, associatedWithAuthorCollection, Leaves of Grass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithAuthorCollection Context triple: [After the Sea-Ship, associatedWithAuthorCollection, Leaves of Grass]
-
A.
associatedWithAuthorType
Indicates that one entity has a specified type of association or role in relation to an author.
-
B.
associatedWithCollection
chosen
Indicates that an entity has a relationship or linkage to a particular collection, such as being included in, managed by, or contextually grouped with that collection.
-
C.
associatedWithAuthorRole
Indicates that an entity is connected to another entity specifically in the capacity or role of an author.
-
D.
associatedWithAuthorWork
Indicates a relationship where an author is connected to a work they created, contributed to, or are otherwise credited for.
-
E.
associatedWithAuthorCycle
Indicates a relationship where an entity is linked to a recurring or cyclical pattern involving an author, such as repeated collaborations, works, or roles over time.
- 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_69e24601a9108190bc31e83833c980e4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1afd15ca48190afd119ec1b4a07b2 |
completed | April 29, 2026, 7:14 a.m. |
| PD | Predicate disambiguation | batch_69f118bcc0b08190b25a8dddfd461a0e |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:35 p.m.