Triple
T27555770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alberdingk Thijm family |
E695630
|
entity |
| Predicate | hasNotableMemberPseudonym |
P304
|
FINISHED |
| Object | Lodewijk van Deyssel |
—
|
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: Lodewijk van Deyssel | Statement: [Alberdingk Thijm family, hasNotableMemberPseudonym, Lodewijk van Deyssel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableMemberPseudonym Context triple: [Alberdingk Thijm family, hasNotableMemberPseudonym, Lodewijk van Deyssel]
-
A.
coAppearsWithPseudonym
Indicates that an entity appears together with another entity that is identified or referenced by a pseudonym in the same context or source.
-
B.
hasNotableMember
chosen
Indicates that a group, organization, or collection includes at least one member who is distinguished or noteworthy in some significant way.
-
C.
usedPseudonymWith
Indicates that one entity employed a pseudonym or alias when interacting or being associated with another entity.
-
D.
revealedAsPseudonymIn
Indicates that one identity or name is disclosed or recognized as a pseudonym within a particular context, work, or source.
-
E.
hasFictionalAlias
Indicates that an entity is known by an alternative name or identity within a fictional context.
- 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_69ef5387e97c8190a9dab040d21cd048 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69fea2d0a4d08190aa06aeb902a02d5a |
completed | May 9, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69fea24698348190b9b992a8e7cdbcd0 |
completed | May 9, 2026, 2:56 a.m. |
Created at: April 27, 2026, 1:37 p.m.