Triple
T35716950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dienstreizen van een thuisblijver |
E1032040
|
entity |
| Predicate | heeftSchrijver |
P36129
|
FINISHED |
| Object | Maarten ’t Hart |
—
|
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: Maarten ’t Hart | Statement: [Dienstreizen van een thuisblijver, heeftSchrijver, Maarten ’t Hart]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heeftSchrijver Context triple: [Dienstreizen van een thuisblijver, heeftSchrijver, Maarten ’t Hart]
-
A.
workAuthorIs
Indicates that a specific person or entity is the author or creator of a particular work.
-
B.
literaryAuthor
chosen
Indicates that one entity is the author or writer of a literary work represented by the other entity.
-
C.
authorGenre
Indicates the relationship between an author and the literary genre(s) in which they write or are associated with.
-
D.
favoriteAuthor
Indicates that one entity is the author whom another entity prefers above all others.
-
E.
genreOfWorkHeWrites
Indicates that a person is an author who writes works belonging to a particular genre.
- 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_69f76e0df1d08190965b1c6dff94c391 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:05 p.m.