Triple
T2148636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anderson |
E47127
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Andersen |
E206886
|
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: Andersen | Statement: [Anderson, hasVariant, Andersen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andersen Context triple: [Anderson, hasVariant, Andersen]
-
A.
Andersen
chosen
Andersen is a common Scandinavian surname of Danish and Norwegian origin, meaning "son of Anders."
-
B.
Hans Christian Andersen
Hans Christian Andersen was a 19th-century Danish author best known worldwide for his enduring fairy tales such as "The Little Mermaid," "The Ugly Duckling," and "The Snow Queen."
-
C.
Anders
Anders is a Scandinavian given name, commonly used in countries like Sweden, Norway, and Denmark, and is a variant of the name Andrew.
-
D.
Henrik
Henrik is the given name of the renowned Norwegian mathematician Niels Henrik Abel, known for his pioneering work in algebra and analysis.
-
E.
Niels
Niels is the given name of the pioneering Norwegian mathematician Niels Henrik Abel, known for his foundational work in algebra and analysis.
- 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_69a88a1933e0819094f18426ed74180f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe44d2608190986467d43ee224d4 |
completed | March 7, 2026, 5:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58d9c52081909f6acb0558369310 |
completed | March 9, 2026, 5:21 a.m. |
Created at: March 4, 2026, 7:44 p.m.