Triple
T9008704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karl Verner |
E215410
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Verner |
E611895
|
NE FINISHED |
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: Verner | Statement: [Karl Verner, familyName, Verner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Verner Context triple: [Karl Verner, familyName, Verner]
-
A.
Verner
chosen
Verner is a given name and surname of Germanic origin, used in various European countries.
-
B.
Svante
Svante is the given name of Swedish geneticist Svante Pääbo, a Nobel Prize–winning pioneer in the field of paleogenomics.
-
C.
Johanus
Johanus is a given name, likely a variant or diminutive of Johan, used as a personal first name in some cultures.
-
D.
Vilhelm
Vilhelm is a masculine given name of Germanic origin, related to William and common in various Scandinavian and European countries.
-
E.
Rigmor
Rigmor is a feminine given name of Scandinavian origin, particularly used in Norway and Denmark.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca83a2bf088190986ee7a8eb90407d |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69bed8588190afc9cbca12b75a3b |
completed | April 1, 2026, 12:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0ec84348190944a2310a6a60448 |
completed | April 3, 2026, 2:38 p.m. |
Created at: March 30, 2026, 7:06 p.m.