Triple
T28673608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Widow’s Breakfast |
E725799
|
entity |
| Predicate | authorLegalName |
P15941
|
FINISHED |
| Object | Joseph Hillström 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: Joseph Hillström King | Statement: [The Widow’s Breakfast, authorLegalName, Joseph Hillström King]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorLegalName Context triple: [The Widow’s Breakfast, authorLegalName, Joseph Hillström King]
-
A.
authorTitle
Indicates that a person is the creator or writer of a work that bears the specified title.
-
B.
authorName
chosen
Indicates the name associated with the person or entity that authored a given work or resource.
-
C.
authorAsCredited
Indicates the relationship between a work and the person or entity credited as its author, regardless of actual authorship.
-
D.
authorOfNamesFor
Indicates that one entity is the creator or originator of the names assigned to another entity or set of entities.
-
E.
authorOfLegalOpinion
Indicates that a person is the writer or creator of a specific legal opinion document.
- 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_69f01d85be388190b669a0e401e2f2c4 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: April 28, 2026, 5:05 a.m.