Triple
T9732676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marjorie |
E235982
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Marjory
Marjory is a feminine given name, commonly considered a variant spelling of Marjorie.
|
E818467
|
NE FINISHED |
How this triple was built (4 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: Marjory | Statement: [Marjorie, hasVariant, Marjory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marjory Context triple: [Marjorie, hasVariant, Marjory]
-
A.
Rowena Morrill
Rowena Morrill was an influential American science fiction and fantasy artist renowned for her vivid, imaginative book and magazine cover illustrations.
-
B.
Mabel FitzRobert
Mabel FitzRobert was a 12th-century Anglo-Norman noblewoman of the powerful de Clare–FitzRobert family, connected to the earldom of Gloucester.
-
C.
Euphemia de Ross
Euphemia de Ross was a 14th-century Scottish noblewoman and queen consort as the second wife of King Robert II of Scotland.
-
D.
Rowena Morgan
Rowena Morgan is a talented young singer and student in the film "Mr. Holland's Opus," whose musical potential deeply inspires her teacher, Glenn Holland.
-
E.
Mary Desha
Mary Desha was an American educator and civic leader best known as one of the four co-founders of the patriotic lineage organization Daughters of the American Revolution.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Marjory Triple: [Marjorie, hasVariant, Marjory]
Generated description
Marjory is a feminine given name, commonly considered a variant spelling of Marjorie.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marjory Target entity description: Marjory is a feminine given name, commonly considered a variant spelling of Marjorie.
-
A.
Rowena Morrill
Rowena Morrill was an influential American science fiction and fantasy artist renowned for her vivid, imaginative book and magazine cover illustrations.
-
B.
Mabel FitzRobert
Mabel FitzRobert was a 12th-century Anglo-Norman noblewoman of the powerful de Clare–FitzRobert family, connected to the earldom of Gloucester.
-
C.
Euphemia de Ross
Euphemia de Ross was a 14th-century Scottish noblewoman and queen consort as the second wife of King Robert II of Scotland.
-
D.
Rowena Morgan
Rowena Morgan is a talented young singer and student in the film "Mr. Holland's Opus," whose musical potential deeply inspires her teacher, Glenn Holland.
-
E.
Mary Desha
Mary Desha was an American educator and civic leader best known as one of the four co-founders of the patriotic lineage organization Daughters of the American Revolution.
- F. None of above. chosen
Provenance (5 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_69ca84d313e88190983ee6ffd0ef60d2 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eb3d6e4819090b3c7fb92550c57 |
completed | April 1, 2026, 10:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1afc4dcc4819096d29c1a0529d272 |
completed | April 5, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_69d1b06d39b48190adaadbc81b4ffb9a |
completed | April 5, 2026, 12:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1b1511c7c8190ba7bc691ab2d3a13 |
completed | April 5, 2026, 12:48 a.m. |
Created at: March 30, 2026, 8:22 p.m.