Triple
T28212870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Cinque |
E711221
|
entity |
| Predicate | workAboutAuthor |
P116924
|
FINISHED |
| Object | Helen Garner |
—
|
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: Helen Garner | Statement: [Joe Cinque, workAboutAuthor, Helen Garner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workAboutAuthor Context triple: [Joe Cinque, workAboutAuthor, Helen Garner]
-
A.
authorOfWorkAbout
chosen
Indicates that one entity is the author or creator of a work whose subject or content is about another entity.
-
B.
authorDescription
Indicates that a person provides a textual description or biographical summary of an author.
-
C.
workPublishedAuthor
Indicates that a particular work was created and published by a specific author.
-
D.
workByAuthorAlsoKnownFor
Indicates that a work is created by an author who is also notably recognized for another specified work or contribution.
-
E.
workOfAuthorWho
Indicates that one entity is a work (such as a book, article, or artwork) created by another entity who is its author.
- 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_69efb51cb5288190818c1f63a266af11 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6434ad2248190a431a5a12c4123d2 |
completed | May 2, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69f63c6c1a948190b68c0f92c264cc0c |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 10:40 p.m.