Triple
T33559875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Quiet Light |
E859588
|
entity |
| Predicate | hasAuthorRelationshipWith |
P29721
|
FINISHED |
| Object | Andrei Tarkovsky |
—
|
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: Andrei Tarkovsky | Statement: [The Quiet Light, hasAuthorRelationshipWith, Andrei Tarkovsky]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAuthorRelationshipWith Context triple: [The Quiet Light, hasAuthorRelationshipWith, Andrei Tarkovsky]
-
A.
hasAuthorRelationship
chosen
Indicates a relationship where one entity serves as the author or creator of another entity (such as a work, document, or resource).
-
B.
hasAuthorRelationshipToSubject
Indicates that an entity serves as the author or creator of the specified subject.
-
C.
subjectRelationToAuthor
Indicates the relationship or connection that the subject has to the author.
-
D.
hasAuthorOf
Indicates that one entity is the author or creator of another entity (such as a work, document, or publication).
-
E.
hasAuthorOfSameWorkAs
Indicates that two authors are related by having written or contributed to the same work.
- 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_69f3497b2b68819093207971b5e13dc8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd02680d948190a3463fb119ba8556 |
completed | May 7, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69fcf89c69b4819082bbc564bd15137d |
completed | May 7, 2026, 8:39 p.m. |
Created at: May 1, 2026, 1:40 a.m.