Triple
T24930600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fernando Meirelles |
E618972
|
entity |
| Predicate | basedOnAuthorCollaboratedWith |
P158693
|
FINISHED |
| Object | Paulo Lins |
—
|
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: Paulo Lins | Statement: [Fernando Meirelles, basedOnAuthorCollaboratedWith, Paulo Lins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnAuthorCollaboratedWith Context triple: [Fernando Meirelles, basedOnAuthorCollaboratedWith, Paulo Lins]
-
A.
basedOnWorkAuthorAssociatedWith
Indicates that one entity is derived from or related to a work whose author is associated with another specified entity.
-
B.
basedOnAuthor
Indicates that one entity is derived from, inspired by, or otherwise created on the basis of the work or contributions of a particular author.
-
C.
publishedInCollaborationWith
Indicates that an entity was published as a result of a joint effort or partnership with another entity.
-
D.
hasCoauthor
Indicates that two or more entities have jointly authored the same work or publication.
-
E.
relatedWorkOfCoAuthor
Indicates that one work is related to another through a shared co-author relationship between their creators.
- 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_69e2fab9edd88190b86004a78a28bc20 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f47b865df48190bf4b6d3e9f9305e6 |
completed | May 1, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69f4682c8a3c8190adbfaac99474eaaf |
completed | May 1, 2026, 8:45 a.m. |
| PDg | Predicate description generation | batch_69f47b7f657c81908174590c811a3cbf |
completed | May 1, 2026, 10:07 a.m. |
Created at: April 18, 2026, 5:29 a.m.