Triple
T22459321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stefan Hertmans |
E555189
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Stefan Hertmans |
—
|
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: Stefan Hertmans | Statement: [Stefan Hertmans, name, Stefan Hertmans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stefan Hertmans Context triple: [Stefan Hertmans, name, Stefan Hertmans]
-
A.
Stefan Hertmans
chosen
Stefan Hertmans is a Belgian writer and poet renowned for his acclaimed novels, essays, and poetry, often exploring memory, history, and identity.
-
B.
Hervé Van der Straeten
Hervé Van der Straeten is a French designer renowned for his sculptural furniture, lighting, and luxury objects that blend bold geometry with meticulous craftsmanship.
-
C.
Jef Houben
Jef Houben is a Belgian former professional footballer known for playing as a defender, notably with K.R.C. Genk.
-
D.
Julien De Smedt
Julien De Smedt is a Belgian architect known for his innovative and sculptural contemporary designs, often created through his firm JDS Architects.
-
E.
Cédric Van Styvendael
Cédric Van Styvendael is a French politician who serves as the mayor of the city of Villeurbanne, near Lyon.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b7e01fc8190825c3dc024484440 |
completed | April 29, 2026, 1:14 a.m. |
Created at: April 16, 2026, 8:48 p.m.