Triple
T560929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nell |
E13447
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object | Nel |
E13447
|
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: Nel | Statement: [Nell, hasVariantSpelling, Nel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nel Context triple: [Nell, hasVariantSpelling, Nel]
-
A.
Neil
Neil is the given name of Neil deGrasse Tyson, a prominent American astrophysicist, author, and science communicator.
-
B.
Nain
Nain is a remote coastal town in northern Labrador, Canada, known as the administrative center of the Inuit region of Nunatsiavut.
-
C.
Nobiin
Nobiin is a Nile-Nubian language spoken primarily by Nubian communities in southern Egypt and northern Sudan, known for its ancient roots and rich oral tradition.
-
D.
Beni
Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
-
E.
Nell
chosen
Nell is a feminine given name, often used as a diminutive of names like Eleanor or Helen.
- 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_69a4933edcf08190b35ecfd6014caee6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a499e2795c8190903240e79964156d |
completed | March 1, 2026, 7:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4e9bd6c44819094ba815966ca7937 |
completed | March 2, 2026, 1:37 a.m. |
Created at: March 1, 2026, 7:32 p.m.