Triple
T12471480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madison (surname) |
E298065
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object | Maddison |
E298066
|
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: Maddison | Statement: [Madison (surname), hasVariantSpelling, Maddison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maddison Context triple: [Madison (surname), hasVariantSpelling, Maddison]
-
A.
Maddison
chosen
Maddison is a given name and surname, often used as a variant spelling of Madison.
-
B.
Gustavus
Gustavus is a Latinized masculine given name historically borne by several Swedish kings and used in various European and English-speaking contexts.
-
C.
Knox
Knox is a surname most famously associated with Henry Knox, a key American Revolutionary War general and the first United States Secretary of War.
-
D.
Cabell
Cabell is a surname of English origin borne by various notable individuals, including American politician Earle Cabell.
-
E.
Avalon Clinton
Avalon Clinton is a mixed-use residential development in New York City known for its affordable housing components and context-sensitive urban design.
- 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_69d6ada270808190b1a2b2e7b02bb426 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dba7f6c8190b272f649e0777362 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f2373308190b41aafa635c8de5e |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:56 p.m.