Triple
T23395852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Böhm |
E559355
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Boehm |
—
|
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: Boehm | Statement: [Böhm, hasVariant, Boehm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boehm Context triple: [Böhm, hasVariant, Boehm]
-
A.
Boehm
chosen
Boehm is a surname most prominently associated with Barry W. Boehm, an influential American software engineer known for his work on software cost estimation and the Spiral Model of software development.
-
B.
Boyer
Boyer is a surname most notably associated with Herbert Boyer, a pioneering biochemist and co-founder of the biotechnology company Genentech.
-
C.
Dekker
Dekker is a Dutch-origin surname borne by various notable individuals across fields such as literature, sports, and entertainment.
-
D.
Bonger
Bonger is a Dutch surname most notably associated with Johanna van Gogh-Bonger, the key figure in preserving and promoting Vincent van Gogh’s artistic legacy.
-
E.
Backus
Backus is a surname most notably associated with John Backus, the American computer scientist who led the development of the Fortran programming language.
- 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4db1c888190ace5d58bcc8645c1 |
completed | April 29, 2026, 6:27 a.m. |
Created at: April 17, 2026, 5:36 p.m.