Triple
T1188178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nielsen |
E25294
|
entity |
| Predicate | hasCognate |
P2525
|
FINISHED |
| Object | Nilsen |
E12672
|
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: Nilsen | Statement: [Nielsen, hasCognate, Nilsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nilsen Context triple: [Nielsen, hasCognate, Nilsen]
-
A.
Nilsen
chosen
Nilsen is a surname, primarily of Scandinavian origin, that serves as a variant spelling of Nelson.
-
B.
Nils Norman
Nils Norman is a business figure known for co-founding the biotechnology company Biogen.
-
C.
Niels
Niels is the given name of the pioneering Norwegian mathematician Niels Henrik Abel, known for his foundational work in algebra and analysis.
-
D.
Neilson
Neilson is a surname of Scottish and Irish origin, traditionally meaning "son of Neil."
-
E.
Helleren
Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
- 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_69a49427d98881908646d6c63b8cea1e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd568cf481908d10cf19a3ce28f3 |
completed | March 1, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8f6d4e788190b993dc2bdd69ed26 |
completed | March 7, 2026, 8:49 p.m. |
Created at: March 1, 2026, 7:45 p.m.