Triple
T4039409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen |
E83906
|
entity |
| Predicate | isAnglicisedFormOf |
P30817
|
FINISHED |
| Object | Stephanos |
E346406
|
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: Stephanos | Statement: [Stephen, isAnglicisedFormOf, Stephanos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephanos Context triple: [Stephen, isAnglicisedFormOf, Stephanos]
-
A.
Stephanos
chosen
Stephanos is the Greek form of the name Stephen, traditionally associated with Saint Stephen, the first Christian martyr.
-
B.
Matthaeus
Matthaeus is the Latin form of the given name Matthew, commonly associated with the biblical apostle and evangelist.
-
C.
Dioscorus
Dioscorus is traditionally depicted in Christian hagiography as the pagan father of Saint Barbara who opposed her conversion and ultimately martyred her.
-
D.
Cleopas
Cleopas is a figure from the New Testament, known as one of the disciples who encountered the risen Jesus on the road to Emmaus.
-
E.
Nestor of Tarsus
Nestor of Tarsus was an ancient Greek philosopher associated with the Stoic school, known for his work in logic and ethics.
- 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_69aed92f7cf0819098e0539bdcc3767f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb37e24c81908d6357ab8ba5388d |
completed | March 9, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b55646e5d881909eadd0640a4f1796 |
completed | March 14, 2026, 12:36 p.m. |
Created at: March 9, 2026, 3:37 p.m.