Triple
T26337907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judge William |
E662567
|
entity |
| Predicate | pseudonymousContext |
P138178
|
FINISHED |
| Object | Kierkegaard’s pseudonymous authorship |
—
|
LITERAL FINISHED |
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: Kierkegaard’s pseudonymous authorship | Statement: [Judge William, pseudonymousContext, Kierkegaard’s pseudonymous authorship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pseudonymousContext Context triple: [Judge William, pseudonymousContext, Kierkegaard’s pseudonymous authorship]
-
A.
pseudonymousAttribution
Indicates that an action, work, or statement is attributed to an entity using a pseudonym rather than their real identity.
-
B.
pseudonymousProducerIs
Indicates that one entity is the pseudonymous producer (creator operating under a pseudonym) of another entity.
-
C.
usedPseudonym
Indicates that an entity performed an action or participated in a context under a name that was not their real or primary identity.
-
D.
directedUnderPseudonym
Indicates that a work was directed by a person using a pseudonym rather than their real name.
-
E.
revealedAsPseudonymIn
chosen
Indicates that one identity or name is disclosed or recognized as a pseudonym within a particular context, work, 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_69ee81304194819092e20e0fae3aee07 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60f6f261c8190805ba660d43edc1d |
completed | May 2, 2026, 2:51 p.m. |
| PD | Predicate disambiguation | batch_69f5f7ff548c8190a23e98c5e66e0bc7 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 10:37 p.m.