Triple
T9215513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melchior Lotter the Younger |
E221231
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Melchior |
E157036
|
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: Melchior | Statement: [Melchior Lotter the Younger, givenName, Melchior]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melchior Context triple: [Melchior Lotter the Younger, givenName, Melchior]
-
A.
Melchior
chosen
Melchior is traditionally known as one of the Three Wise Men or Magi who visited the infant Jesus, often depicted as an aged king bearing gifts.
-
B.
Balthasar
Balthasar is a given name of biblical origin traditionally associated with one of the Three Wise Men in Christian tradition.
-
C.
Gabriele
Gabriele is a feminine given name of Italian origin, commonly used in various European countries.
-
D.
Gabriel
Gabriel is a common masculine given name of Hebrew origin, widely used in many cultures and languages.
-
E.
Aloysius
Aloysius is a masculine given name of Latinized form, historically borne by several saints and used in various European languages.
- 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_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda0830a8819096a186ed2e976cba |
completed | April 1, 2026, 8:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0661c4c2c8190bc5be991a3a75f2b |
completed | April 4, 2026, 1:15 a.m. |
Created at: March 30, 2026, 7:27 p.m.