Triple
T31234842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Babette’s Feast |
E796385
|
entity |
| Predicate | authorPseudonymRelationship |
P72674
|
FINISHED |
| Object | Karen Blixen wrote under the pen name Isak Dinesen |
—
|
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: Karen Blixen wrote under the pen name Isak Dinesen | Statement: [Babette’s Feast, authorPseudonymRelationship, Karen Blixen wrote under the pen name Isak Dinesen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorPseudonymRelationship Context triple: [Babette’s Feast, authorPseudonymRelationship, Karen Blixen wrote under the pen name Isak Dinesen]
-
A.
basedOnAuthorPseudonym
Indicates that something is derived from, inspired by, or determined using an author's pseudonym rather than their real name.
-
B.
pseudonymCoinedBy
Indicates that a particular pseudonym was created or invented by a specific agent or source.
-
C.
pseudonymOfWriter
chosen
Indicates that one entity is a pseudonym used by a writer who is represented by the other entity.
-
D.
revealedAsPseudonymIn
Indicates that one identity or name is disclosed or recognized as a pseudonym within a particular context, work, or source.
-
E.
coAppearsWithPseudonym
Indicates that an entity appears together with another entity that is identified or referenced by a pseudonym in the same context or source.
- 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_69f224db69ac81909a370adad6a7ac7c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd09840ea88190a2e6d7e577ade717 |
completed | May 7, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69fd064c49988190afadddbd04d7cb94 |
completed | May 7, 2026, 9:38 p.m. |
Created at: April 29, 2026, 9:11 p.m.