Triple
T10668471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madelyn |
E251419
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Madelynn |
E251419
|
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: Madelynn | Statement: [Madelyn, hasSpellingVariant, Madelynn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madelynn Context triple: [Madelyn, hasSpellingVariant, Madelynn]
-
A.
Madelyn
chosen
Madelyn is a feminine given name, often considered a modern variant of Madeline and commonly used in English-speaking countries.
-
B.
Maddie
Maddie is a common diminutive form of the given name Madeleine, often used as a casual or affectionate nickname.
-
C.
Maddie
Maddie is the official mascot of the WNBA's New York Liberty basketball team.
-
D.
Madelaine
Madelaine is a character in the Danish crime thriller film "The Salvation."
-
E.
Jazmyn
Jazmyn is a feminine given name, often considered a modern or variant spelling of Jasmine.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6f860790c81909c2c1d3c489ec5b4 |
completed | April 9, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a9ceea08190944354d127f2c73b |
completed | April 10, 2026, 10:33 p.m. |
Created at: April 8, 2026, 9:08 p.m.