Triple
T14766395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mats |
E347006
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Mads |
E785470
|
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: Mads | Statement: [Mats, hasVariant, Mads]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mads Context triple: [Mats, hasVariant, Mads]
-
A.
Mads
chosen
Mads is a Scandinavian given name commonly used for males, particularly in Denmark and Norway.
-
B.
Mads Dittmann Mikkelsen
Mads Dittmann Mikkelsen is a Danish actor renowned for his versatile performances in films and television series such as "Casino Royale," "Hannibal," and "Another Round."
-
C.
Jørgen
Jørgen is a Scandinavian male given name, commonly used in Denmark and Norway and related to the name George.
-
D.
Søren
Søren is a masculine given name of Scandinavian origin, most famously borne by the Danish philosopher Søren Kierkegaard.
-
E.
Morten
Morten is a masculine given name commonly used in Scandinavian countries, derived from the Latin name Martinus.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f576c881909da70627f5897c94 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cf68d94819093567bc630f67b60 |
completed | May 8, 2026, 4:19 p.m. |
Created at: April 10, 2026, 1:30 a.m.