Triple
T23162131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karl Eller |
E578613
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Eller |
—
|
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: Eller | Statement: [Karl Eller, hasFamilyName, Eller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eller Context triple: [Karl Eller, hasFamilyName, Eller]
-
A.
Eller
chosen
Eller is a surname of German origin borne by various notable individuals across different fields.
-
B.
Elers
Elers is a surname of likely European origin associated with individuals such as Anna Maria Elers.
-
C.
Ellisif
Ellisif, also known as Elisiv of Kiev, was a Kievan Rus' princess who became Queen consort of Norway through her marriage to King Harald Hardrada in the 11th century.
-
D.
Helleren
Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
-
E.
Erikli
Erikli is a Turkish bottled water brand known for its natural spring water, marketed under the Nestlé Waters portfolio.
- 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_69e245fc75348190a0288401044c8af8 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f019cd881908e3c68d99454da2a |
completed | April 29, 2026, 4:54 a.m. |
Created at: April 17, 2026, 4:02 p.m.