Triple
T29013372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Package and Other Stories |
E737231
|
entity |
| Predicate | hasAliasOfAuthor |
P46855
|
FINISHED |
| Object | Janet Opal Jeppson |
—
|
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: Janet Opal Jeppson | Statement: [The Package and Other Stories, hasAliasOfAuthor, Janet Opal Jeppson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAliasOfAuthor Context triple: [The Package and Other Stories, hasAliasOfAuthor, Janet Opal Jeppson]
-
A.
hasAuthorAlias
chosen
Indicates that an entity (such as a person or author record) is known by an alternative name or pseudonym used as an author.
-
B.
authorSameAs
Indicates that two author identifiers or representations refer to the same underlying author.
-
C.
hasAuthorRelationship
Indicates a relationship where one entity serves as the author or creator of another entity (such as a work, document, or resource).
-
D.
hasAuthorAlsoKnownFor
Indicates that the author of a work is additionally recognized or notable for another specific work, role, or achievement.
-
E.
hasHeteronymAuthor
Indicates that an entity has an author whose name is a heteronym (a word with the same spelling as another but different pronunciation and meaning).
- 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_69f077ee19f881909af48f9cab00a2e5 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
Created at: April 28, 2026, 9:44 a.m.