Triple
T6572888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diogo |
E155483
|
entity |
| Predicate | etymologicalOrigin |
P453
|
FINISHED |
| Object | Iacobus |
E45465
|
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: Iacobus | Statement: [Diogo, etymologicalOrigin, Iacobus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iacobus Context triple: [Diogo, etymologicalOrigin, Iacobus]
-
A.
Jacobus
chosen
Jacobus is the given name of Koos de la Rey, a prominent Boer general and political figure in South African history.
-
B.
Matthaeus
Matthaeus is the Latin form of the given name Matthew, commonly associated with the biblical apostle and evangelist.
-
C.
Jacobo
Jacobo is a given name, commonly used in Spanish-speaking cultures, that is related to or derived from the name Jaime.
-
D.
Justus
Justus is a given name of Latin origin, historically used across various European cultures and often associated with early Christian figures and saints.
-
E.
Ioan
Ioan is a given name, commonly used in Romanian and other Eastern European languages, that corresponds to the English name John.
- 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_69c688151254819080387f87deab8fa7 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae6faa3c81908f1777d616cece46 |
completed | March 27, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d56a7de88190948fdd052dd4d5d5 |
completed | March 27, 2026, 7:07 p.m. |
Created at: March 27, 2026, 1:53 p.m.