Triple
T21688913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michelle |
E535305
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Michell |
—
|
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: Michell | Statement: [Michelle, hasVariant, Michell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michell Context triple: [Michelle, hasVariant, Michell]
-
A.
Michell
chosen
Michell is a given name and surname that functions as a variant spelling of Mitchell.
-
B.
Encke
Encke is a German surname most notably associated with the 19th-century astronomer Johann Franz Encke, after whom several astronomical objects, including Encke's Comet, are named.
-
C.
Marsden
Marsden is a village in West Yorkshire, England, situated in the Colne Valley near the Pennines and known for its industrial heritage and scenic moorland surroundings.
-
D.
Marsden
Marsden is a residential suburb located within Logan City in Queensland, Australia.
-
E.
Marsden
Marsden is a surname of English origin borne by various notable individuals across fields such as music, acting, and sports.
- 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_69e0c469b6ec8190aee4cadd1527db91 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef96cd51d481908df67e4f69826b06 |
completed | April 27, 2026, 5:03 p.m. |
Created at: April 16, 2026, 6:44 p.m.