Triple
T12302680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharon |
E293269
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Sharyn
Sharyn is a feminine given name, typically considered a spelling variant of Sharon.
|
E977603
|
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: Sharyn | Statement: [Sharon, hasVariant, Sharyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sharyn Context triple: [Sharon, hasVariant, Sharyn]
-
A.
Sharan Burrow
Sharan Burrow is an Australian trade union leader and former General Secretary of the International Trade Union Confederation, known globally for her advocacy on workers’ rights, social justice, and climate action.
-
B.
Charlaine
Charlaine is the given first name of C. Vivian Stringer, a prominent American women's college basketball coach.
-
C.
Glenna
Glenna is a feminine given name of Irish origin, often interpreted to mean "valley" or "from the glen."
-
D.
Glenna
Glenna is a fictional character distinguished by her prominent horns, often depicted as a horned or demonic figure in her narrative setting.
-
E.
Shauna
Shauna is a feminine given name, commonly considered the female form of Sean and used primarily in English-speaking countries.
- 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: Sharyn Triple: [Sharon, hasVariant, Sharyn]
Generated description
Sharyn is a feminine given name, typically considered a spelling variant of Sharon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sharyn Target entity description: Sharyn is a feminine given name, typically considered a spelling variant of Sharon.
-
A.
Sharan Burrow
Sharan Burrow is an Australian trade union leader and former General Secretary of the International Trade Union Confederation, known globally for her advocacy on workers’ rights, social justice, and climate action.
-
B.
Charlaine
Charlaine is the given first name of C. Vivian Stringer, a prominent American women's college basketball coach.
-
C.
Glenna
Glenna is a feminine given name of Irish origin, often interpreted to mean "valley" or "from the glen."
-
D.
Glenna
Glenna is a fictional character distinguished by her prominent horns, often depicted as a horned or demonic figure in her narrative setting.
-
E.
Shauna
Shauna is a feminine given name, commonly considered the female form of Sean and used primarily in English-speaking countries.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93edca2648190987eef19599e340c |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a9b8ef88190bce122f1b1800cd4 |
completed | May 2, 2026, 4:47 p.m. |
| NEDg | Description generation | batch_69f62c54e6b08190bdae0ec35cc1c48d |
completed | May 2, 2026, 4:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62d0c2568819083e66c8ae484d30d |
completed | May 2, 2026, 4:57 p.m. |
Created at: April 8, 2026, 9:53 p.m.