Triple
T21664299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ean Evans |
E534669
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ean |
—
|
NE NERFINISHED |
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: Ean | Statement: [Ean Evans, givenName, Ean]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ean Context triple: [Ean Evans, givenName, Ean]
-
A.
Ean
chosen
Ean is a given name, typically considered a variant of Ian or John, used primarily in English-speaking contexts.
-
B.
Maa
Maa is a Nilotic language spoken primarily by the Maasai people of Kenya and Tanzania.
-
C.
Maa
Maa is a revered Hindu mother goddess, often worshipped in her fierce and protective form as Sherawali, the lion-riding deity.
-
D.
Estyn
Estyn is the education and training inspectorate for Wales, responsible for evaluating the quality and standards of schools, colleges, and other learning providers.
-
E.
Mainas
Mainas is an alternative name for the Maynas, an Indigenous people historically inhabiting parts of the Amazon basin in present-day Peru and neighboring regions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef6c0a2a58819086db5b5c1c0f3371 |
completed | April 27, 2026, 2 p.m. |
Created at: April 16, 2026, 6:36 p.m.