Triple
T16803618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephan |
E408420
|
entity |
| Predicate | orthographicVariant |
P33995
|
FINISHED |
| Object | Stephanus |
E20111
|
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: Stephanus | Statement: [Stephan, orthographicVariant, Stephanus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephanus Context triple: [Stephan, orthographicVariant, Stephanus]
-
A.
Stephanus
chosen
Stephanus is the given first name of Paul Kruger, the prominent 19th-century Boer leader and president of the South African Republic.
-
B.
Hieronim
Hieronim is a masculine given name of Greek origin, commonly used in various European cultures and best known in forms like Jerome.
-
C.
Couesius
Couesius is a small genus of North American freshwater minnows in the family Leuciscidae, best known for the lake chub.
-
D.
Hermogenianus
Hermogenianus was a late Roman jurist and imperial official best known for compiling the Codex Hermogenianus, an influential collection of imperial legal constitutions.
-
E.
Agapius
Agapius is traditionally regarded as one of the children of Saint Eustace in Christian hagiography.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2ca46f88190b56e81d75012496c |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b28d3a808190bc94a4f09a10da7e |
completed | May 10, 2026, 4:30 p.m. |
Created at: April 10, 2026, 5:22 a.m.