Triple
T6379609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayer |
E143547
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Mayr |
E195508
|
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: Mayr | Statement: [Mayer, hasVariant, Mayr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mayr Context triple: [Mayer, hasVariant, Mayr]
-
A.
Mayr
chosen
Mayr is a German surname most notably associated with Ernst Mayr, a pioneering evolutionary biologist and key architect of the modern synthesis in evolutionary theory.
-
B.
Mommsen
Mommsen is a German surname most famously associated with Theodor Mommsen, the Nobel Prize–winning historian and scholar of ancient Rome.
-
C.
Muffendorf
Muffendorf is a historic, village-like residential quarter in the Bonn district of Bad Godesberg, known for its traditional half-timbered houses and picturesque setting.
-
D.
Eberl
Eberl is a German-language surname of Austrian and Bavarian origin borne by various notable individuals.
-
E.
Sonnemann
Sonnemann is the maiden surname of Emmy Göring, the German actress who became the second wife of Nazi leader Hermann Göring.
- 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_69c008d9f4348190ab598a2913259a1c |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0685029488190911fb24c470b6f0d |
completed | March 22, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62daf2f408190923d67bd0222d2bb |
completed | March 27, 2026, 7:11 a.m. |
Created at: March 22, 2026, 4:33 p.m.