Triple
T13042583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sammie |
E327231
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object |
Sammi
Sammi is a given name, typically used as a variant spelling of names like Sammie or Sammy.
|
E1017694
|
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: Sammi | Statement: [Sammie, hasSpellingVariant, Sammi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sammi Context triple: [Sammie, hasSpellingVariant, Sammi]
-
A.
Sammi Rotibi
Sammi Rotibi is a Nigerian-American actor known for his roles in film and television, including a main cast role on the National Geographic series "Mars."
-
B.
Selina Tsang
Selina Tsang is the wife of former Hong Kong Chief Executive Donald Tsang and a public figure known primarily for her role as his spouse in Hong Kong’s political and social circles.
-
C.
Tei Shi
Tei Shi is an Argentine-Canadian singer, songwriter, and producer known for her ethereal, R&B-infused indie pop and intimate, atmospheric soundscapes.
-
D.
Amii
Amii is a Canadian research institute based in Alberta that focuses on advancing artificial intelligence and machine learning through research, education, and industry collaboration.
-
E.
Jessie Mei Li
Jessie Mei Li is a British actress best known for playing the lead role of Alina Starkov in the fantasy television series "Shadow and Bone."
- 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: Sammi Triple: [Sammie, hasSpellingVariant, Sammi]
Generated description
Sammi is a given name, typically used as a variant spelling of names like Sammie or Sammy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sammi Target entity description: Sammi is a given name, typically used as a variant spelling of names like Sammie or Sammy.
-
A.
Sammi Rotibi
Sammi Rotibi is a Nigerian-American actor known for his roles in film and television, including a main cast role on the National Geographic series "Mars."
-
B.
Selina Tsang
Selina Tsang is the wife of former Hong Kong Chief Executive Donald Tsang and a public figure known primarily for her role as his spouse in Hong Kong’s political and social circles.
-
C.
Tei Shi
Tei Shi is an Argentine-Canadian singer, songwriter, and producer known for her ethereal, R&B-infused indie pop and intimate, atmospheric soundscapes.
-
D.
Amii
Amii is a Canadian research institute based in Alberta that focuses on advancing artificial intelligence and machine learning through research, education, and industry collaboration.
-
E.
Jessie Mei Li
Jessie Mei Li is a British actress best known for playing the lead role of Alina Starkov in the fantasy television series "Shadow and Bone."
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d9804f0318819081516e2ca1de6797 |
completed | April 10, 2026, 10:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbd5139c8190aaec6487f074f251 |
completed | May 3, 2026, 4:15 a.m. |
| NEDg | Description generation | batch_69f6ce6278e081908864fba1db23ada0 |
completed | May 3, 2026, 4:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6cf547b188190b24c51e06a3b4d3c |
completed | May 3, 2026, 4:30 a.m. |
Created at: April 9, 2026, 8:56 p.m.