Triple
T4285663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sean |
E97261
|
entity |
| Predicate | commonAlternativeSpelling |
P457
|
FINISHED |
| Object | Shon |
E289134
|
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: Shon | Statement: [Sean, commonAlternativeSpelling, Shon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shon Context triple: [Sean, commonAlternativeSpelling, Shon]
-
A.
Shan
The Shan are a Tai ethnic group primarily inhabiting Myanmar's Shan State, known for their distinct language, Buddhist traditions, and historical Shan principalities.
-
B.
Sharman
Sharman is a surname most notably associated with Helen Sharman, the first British astronaut and the first Western European woman in space.
-
C.
Shawn
chosen
Shawn is a given name, typically a variant of the name John or Sean, used primarily in English-speaking countries.
-
D.
Shaun
Shaun is a given name associated with the English actor Sean Bean, known for his roles in film and television such as "The Lord of the Rings" and "Game of Thrones."
-
E.
Shriever
Shriever is a surname, a variant spelling of "Shriver," borne by various individuals of English-speaking origin.
- 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_69b3454595848190a0e6bbb6a2bea040 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3505bff588190919a4ef547f607c2 |
completed | March 12, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b7c657b08190b96135c34622e559 |
completed | March 14, 2026, 7:32 p.m. |
Created at: March 12, 2026, 11:07 p.m.