Triple
T28521411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth Rogan |
E721778
|
entity |
| Predicate | authorOfWorkFeaturing |
P151917
|
FINISHED |
| Object | Stephen King |
—
|
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: Stephen King | Statement: [Elizabeth Rogan, authorOfWorkFeaturing, Stephen King]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorOfWorkFeaturing Context triple: [Elizabeth Rogan, authorOfWorkFeaturing, Stephen King]
-
A.
authorOfWorkWhereFeatured
chosen
Indicates that one entity is the creator or author of a work in which another entity is featured or appears.
-
B.
publisherOfWorkFeaturing
Indicates that one entity serves as the publisher responsible for releasing or distributing a work in which another specified entity is featured.
-
C.
authorOfWorkHeAppearsIn
Indicates that a person is the author of a work in which he himself appears as a character or subject.
-
D.
authorOfWorkAppearingIn
Indicates that one entity is the creator or writer of a work that appears within another work or publication.
-
E.
authorOfWorkAbout
Indicates that one entity is the author or creator of a work whose subject or content is about another entity.
- 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_69f01a5cbcc4819083fb4e723378713e |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f7764ab1fc81909f9348db87bd7692 |
completed | May 3, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f76905d9c88190b1ee810bc9ab644f |
completed | May 3, 2026, 3:25 p.m. |
Created at: April 28, 2026, 3:21 a.m.