Triple
T28649869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Works of Geoffrey Chaucer |
E725159
|
entity |
| Predicate | authorOfTexts |
P2353
|
FINISHED |
| Object | Geoffrey Chaucer |
—
|
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: Geoffrey Chaucer | Statement: [The Works of Geoffrey Chaucer, authorOfTexts, Geoffrey Chaucer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorOfTexts Context triple: [The Works of Geoffrey Chaucer, authorOfTexts, Geoffrey Chaucer]
-
A.
authors
Indicates that one entity is the creator or writer of another entity, such as a document, work, or piece of content.
-
B.
authorOfWorkAbout
Indicates that one entity is the author or creator of a work whose subject or content is about another entity.
-
C.
theoreticalTextAuthor
Indicates that one entity is the author or creator of a theoretical or conceptual text associated with the other entity.
-
D.
authorOfNamesFor
Indicates that one entity is the creator or originator of the names assigned to another entity or set of entities.
-
E.
bookAuthors
chosen
Indicates the relationship between a book and the person or people who authored it.
- 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_69f01d8423888190bd2f4e52605bf261 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f7817daf00819098936402e75ab0a6 |
completed | May 3, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
Created at: April 28, 2026, 4:51 a.m.