Triple
T38237339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daru |
E1013656
|
entity |
| Predicate | associatedWithWorkAuthor |
P89906
|
FINISHED |
| Object | Albert Camus |
E63321
|
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: Albert Camus | Statement: [Daru, associatedWithWorkAuthor, Albert Camus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithWorkAuthor Context triple: [Daru, associatedWithWorkAuthor, Albert Camus]
-
A.
associatedWithAuthorWork
Indicates a relationship where an author is connected to a work they created, contributed to, or are otherwise credited for.
-
B.
basedOnWorkAuthorAssociatedWith
Indicates that one entity is derived from or related to a work whose author is associated with another specified entity.
-
C.
associatedWithWorkOf
chosen
Indicates that one entity has a connection or involvement with the work, creation, or output produced by another entity.
-
D.
associatedWithAuthorRole
Indicates that an entity is connected to another entity specifically in the capacity or role of an author.
-
E.
relatedToAuthorWork
Indicates that there is a connection or association between an author and a work they have created, contributed to, or are otherwise linked with.
- 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_69f76dd72a248190a5fe18db2bd1eb15 |
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_6a41855dc46c8190ab190e58872a6cb0 |
completed | June 28, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:30 p.m.