Triple
T27555768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alberdingk Thijm family |
E695630
|
entity |
| Predicate | hasNotableEssayist |
P10455
|
FINISHED |
| Object | Joseph Alberdingk Thijm |
—
|
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 Alberdingk Thijm | Statement: [Alberdingk Thijm family, hasNotableEssayist, Joseph Alberdingk Thijm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableEssayist Context triple: [Alberdingk Thijm family, hasNotableEssayist, Joseph Alberdingk Thijm]
-
A.
hasNotableWriter
chosen
Indicates that an entity is associated with a writer who is recognized as significant or distinguished in some notable way.
-
B.
hasNotableAuthorWork
Indicates that an author is notably associated with creating a particular work.
-
C.
hasNotableExpositor
Indicates that an entity has a person or source that is especially recognized for explaining, interpreting, or presenting it.
-
D.
hasNotableScholar
Indicates that an entity is associated with a scholar who is recognized as particularly distinguished or influential in relation to that entity.
-
E.
notableEssay
Indicates that an entity is the author or creator of an essay that is particularly significant, influential, or well-known.
- 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_69fe9fb9735c8190a360b556c9d00b3f |
completed | May 9, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69fe9eaa88008190a9b2a469dc685002 |
completed | May 9, 2026, 2:40 a.m. |
Created at: April 27, 2026, 1:37 p.m.